diff --git a/.github/PR_TEMPLATE.md b/.github/PR_TEMPLATE.md
new file mode 100644
index 00000000..7bfb8c60
--- /dev/null
+++ b/.github/PR_TEMPLATE.md
@@ -0,0 +1,18 @@
+---
+name: 'Contribution Guideline '
+about: Refer to Contirbution Guideline
+title: ''
+labels: ''
+assignees: ''
+
+---
+### Contribution Guideline
+
+Please send your PRs to `dev` branch if it is not directly related to a specific branch.
+Before making a Pull Request, check your changes for basic mistakes and style problems by using a linter.
+We have cardboardlinter setup in this repository, so for example, if you've made some changes and would like to run the linter on just the changed code, you can use the follow command:
+
+```bash
+pip install pylint cardboardlint
+cardboardlinter --refspec master
+```
\ No newline at end of file
diff --git a/.gitignore b/.gitignore
index e1e9fbd4..b6fee485 100644
--- a/.gitignore
+++ b/.gitignore
@@ -128,3 +128,4 @@ tests/outputs/*
TODO.txt
.vscode/*
data/*
+notebooks/data/*
diff --git a/.travis.yml b/.travis.yml
index 83ba25a3..5210bef2 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -6,6 +6,8 @@ git:
before_install:
- sudo apt-get update
- sudo apt-get -y install espeak
+ - python -m pip install --upgrade pip
+ - pip install six==1.12.0
matrix:
include:
@@ -15,7 +17,15 @@ matrix:
env: TEST_SUITE="lint"
- name: "Unit tests"
python: "3.6"
- install: pip install --quiet -r requirements_tests.txt
+ install:
+ - python setup.py egg_info
+ - pip install -e .
env: TEST_SUITE="unittest"
+ - name: "Unit tests"
+ python: "3.6"
+ install:
+ - python setup.py egg_info
+ - pip install -e .
+ env: TEST_SUITE="testscripts"
script: ./.travis/script
diff --git a/.travis/script b/.travis/script
index 76d74aea..0c24a221 100755
--- a/.travis/script
+++ b/.travis/script
@@ -10,13 +10,12 @@ if [[ ( "$TRAVIS_PULL_REQUEST" != "false" ) && ( "$TEST_SUITE" == "lint" ) ]]; t
fi
if [[ "$TEST_SUITE" == "unittest" ]]; then
- # Run tests on all pushes
- pushd tts_namespace
- nosetests TTS.speaker_encoder.tests --nocapture
- nosetests TTS.vocoder.tests --nocapture
- nosetests TTS.tests --nocapture
- nosetests TTS.tf.tests --nocapture
- popd
- # Test server package
+ nosetests tests --nocapture
./tests/test_server_package.sh
fi
+
+if [[ "$TEST_SUITE" == "testscripts" ]]; then
+ # test model training scripts
+ ./tests/test_tts_train.sh
+ ./tests/test_vocoder_train.sh
+fi
diff --git a/README.md b/README.md
index 31bfe73c..136b2ac5 100644
--- a/README.md
+++ b/README.md
@@ -1,12 +1,17 @@

+
+
+
-This project is a part of [Mozilla Common Voice](https://voice.mozilla.org/en).
+
+
+This project is a part of [Mozilla Common Voice](https://voice.mozilla.org/en).
Mozilla TTS aims a deep learning based Text2Speech engine, low in cost and high in quality.
@@ -79,32 +84,32 @@ Or you can use ```requirements.txt``` to install the requirements only.
### Directory Structure
```
-|- TTS/
-| |- train.py (train your TTS model.)
-| |- distribute.py (train your TTS model using Multiple GPUs)
-| |- config.json (TTS model configuration file)
-| |- tf/ (Tensorflow 2 utilities and model implementations)
-| |- layers/ (model layer definitions)
-| |- models/ (model definitions)
-| |- notebooks/ (Jupyter Notebooks for model evaluation and parameter selection)
-| |- data_analysis/ (TTS Dataset analysis tools and notebooks.)
-| |- utils/ (TTS utilities -io, visualization, data processing etc.-)
-| |- speaker_encoder/ (Speaker Encoder implementation with the same folder structure.)
-| |- vocoder/ (Vocoder implementations with the same folder structure.)
+|- notebooks/ (Jupyter Notebooks for model evaluation, parameter selection and data analysis.)
+|- utils/ (common utilities.)
+|- TTS
+ |- bin/ (folder for all the executables.)
+ |- train*.py (train your target model.)
+ |- distribute.py (train your TTS model using Multiple GPUs.)
+ |- compute_statistics.py (compute dataset statistics for normalization.)
+ |- convert*.py (convert target torch model to TF.)
+ |- tts/ (text to speech models)
+ |- layers/ (model layer definitions)
+ |- models/ (model definitions)
+ |- tf/ (Tensorflow 2 utilities and model implementations)
+ |- utils/ (model specific utilities.)
+ |- speaker_encoder/ (Speaker Encoder models.)
+ |- (same)
+ |- vocoder/ (Vocoder models.)
+ |- (same)
```
### Docker
-A barebone `Dockerfile` exists at the root of the project, which should let you quickly setup the environment. By default, it will start the server and let you query it. Make sure to use `nvidia-docker` to use your GPUs. Make sure you follow the instructions in the [`server README`](server/README.md) before you build your image so that the server can find the model within the image.
+A docker image is created by [@synesthesiam](https://github.com/synesthesiam) and shared in a separate [repository](https://github.com/synesthesiam/docker-mozillatts) with the latest LJSpeech models.
-```
-docker build -t mozilla-tts .
-nvidia-docker run -it --rm -p 5002:5002 mozilla-tts
-```
-
-## Checkpoints and Audio Samples
+## Release Models
Please visit [our wiki.](https://github.com/mozilla/TTS/wiki/Released-Models)
-## Example Model Outputs
+## Sample Model Output
Below you see Tacotron model state after 16K iterations with batch-size 32 with LJSpeech dataset.
> "Recent research at Harvard has shown meditating for as little as 8 weeks can actually increase the grey matter in the parts of the brain responsible for emotional regulation and learning."
@@ -116,8 +121,8 @@ Audio examples: [soundcloud](https://soundcloud.com/user-565970875/pocket-articl
## [Mozilla TTS Tutorials and Notebooks](https://github.com/mozilla/TTS/wiki/TTS-Notebooks-and-Tutorials)
## Datasets and Data-Loading
-TTS provides a generic dataloader easy to use for your custom dataset.
-You just need to write a simple function to format the dataset. Check ```datasets/preprocess.py``` to see some examples.
+TTS provides a generic dataloader easy to use for your custom dataset.
+You just need to write a simple function to format the dataset. Check ```datasets/preprocess.py``` to see some examples.
After that, you need to set ```dataset``` fields in ```config.json```.
Some of the public datasets that we successfully applied TTS:
@@ -142,15 +147,19 @@ tail -n 1100 metadata_shuf.csv > metadata_val.csv
To train a new model, you need to define your own ```config.json``` file (check the example) and call with the command below. You also set the model architecture in ```config.json```.
-```train.py --config_path config.json```
+```python TTS/bin/train.py --config_path TTS/tts/configs/config.json```
To fine-tune a model, use ```--restore_path```.
-```train.py --config_path config.json --restore_path /path/to/your/model.pth.tar```
+```python TTS/bin/train.py --config_path TTS/tts/configs/config.json --restore_path /path/to/your/model.pth.tar```
+
+To continue an old training run, use ```--continue_path```.
+
+```python TTS/bin/train.py --continue_path /path/to/your/run_folder/```
For multi-GPU training use ```distribute.py```. It enables process based multi-GPU training where each process uses a single GPU.
-```CUDA_VISIBLE_DEVICES="0,1,4" distribute.py --config_path config.json```
+```CUDA_VISIBLE_DEVICES="0,1,4" TTS/bin/distribute.py --config_path TTS/tts/configs/config.json```
Each run creates a new output folder and ```config.json``` is copied under this folder.
@@ -187,7 +196,7 @@ If you like to use TTS to try a new idea and like to share your experiments with
- [x] Enable process based distributed training. Similar to (https://github.com/fastai/imagenet-fast/).
- [x] Adapting Neural Vocoder. TTS works with WaveRNN and ParallelWaveGAN (https://github.com/erogol/WaveRNN and https://github.com/erogol/ParallelWaveGAN)
- [ ] Multi-speaker embedding.
-- [ ] Model optimization (model export, model pruning etc.)
+- [x] Model optimization (model export, model pruning etc.)
2\u001b[0;31m \u001b[0mitems\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmozilla_de\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mDATA_PATH\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mMETA_DATA\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\" > Number of audio files: {}\"\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m~/Projects/TTS/tts_namespace/TTS/datasets/preprocess.py\u001b[0m in \u001b[0;36mmozilla_de\u001b[0;34m(root_path, meta_file)\u001b[0m\n\u001b[1;32m 81\u001b[0m \u001b[0mitems\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 82\u001b[0m \u001b[0mspeaker_name\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"mozilla\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 83\u001b[0;31m \u001b[0;32mwith\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtxt_file\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'r'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mencoding\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"ISO 8859-1\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mttf\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 84\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mline\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mttf\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 85\u001b[0m \u001b[0mcols\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mline\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstrip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msplit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'|'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '/home/erogol/Data/Spectie/audio/output/metadata.txt'"
+ ]
+ }
+ ],
+ "source": [
+ "# use your own preprocessor at this stage - TTS/datasets/proprocess.py\n",
+ "items = mozilla_de(DATA_PATH, META_DATA)\n",
+ "print(\" > Number of audio files: {}\".format(len(items)))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [],
+ "source": [
+ "# check wavs if exist\n",
+ "wav_files = []\n",
+ "for item in items:\n",
+ " wav_file = item[1].strip()\n",
+ " wav_files.append(wav_file)\n",
+ " if not os.path.exists(wav_file):\n",
+ " print(wav_file)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "['/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_2_FINAL/2_119.wav']\n"
+ ]
+ }
+ ],
+ "source": [
+ "# show duplicate items\n",
+ "c = Counter(wav_files)\n",
+ "duplicates = [item for item, count in c.items() if count > 1]\n",
+ "print(duplicates)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [],
+ "source": [
+ "folders = [w.split('/')[5] for w in wav_files]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "{'BATCH_10_FINAL',\n",
+ " 'BATCH_11_FINAL',\n",
+ " 'BATCH_12_FINAL',\n",
+ " 'BATCH_13_FINAL',\n",
+ " 'BATCH_14_FINAL',\n",
+ " 'BATCH_15_FINAL',\n",
+ " 'BATCH_16_FINAL',\n",
+ " 'BATCH_17_FINAL',\n",
+ " 'BATCH_18_FINAL',\n",
+ " 'BATCH_19_FINAL',\n",
+ " 'BATCH_1_FINAL',\n",
+ " 'BATCH_20_FINAL',\n",
+ " 'BATCH_2_FINAL',\n",
+ " 'BATCH_3_FINAL',\n",
+ " 'BATCH_4_FINAL',\n",
+ " 'BATCH_5_FINAL',\n",
+ " 'BATCH_6_FINAL',\n",
+ " 'BATCH_7_FINAL',\n",
+ " 'BATCH_8_FINAL',\n",
+ " 'BATCH_9_FINAL'}"
+ ]
+ },
+ "execution_count": 9,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "set(folders)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/home/erogol/miniconda3/lib/python3.7/site-packages/ipykernel_launcher.py:18: TqdmDeprecationWarning: This function will be removed in tqdm==5.0.0\n",
+ "Please use `tqdm.notebook.tqdm` instead of `tqdm.tqdm_notebook`\n"
+ ]
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "afbb94c274fe4913b256a8756584c0f6",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "HBox(children=(FloatProgress(value=0.0, max=14610.0), HTML(value='')))"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n"
+ ]
+ }
+ ],
+ "source": [
+ "def load_item(item):\n",
+ " file_name = item[1].strip()\n",
+ " text = item[0].strip()\n",
+ " audio = librosa.load(file_name, sr=None)\n",
+ " sr = audio[1]\n",
+ " audio = audio[0]\n",
+ " audio_len = len(audio) / sr\n",
+ " text_len = len(text)\n",
+ " return file_name, text, text_len, audio, audio_len\n",
+ "\n",
+ "# This will take a while depending on size of dataset\n",
+ "if NUM_PROC == 1:\n",
+ " data = []\n",
+ " for m in tqdm(items):\n",
+ " data += [load_item(m)]\n",
+ "else:\n",
+ " with Pool(8) as p:\n",
+ " data = list(tqdm(p.imap(load_item, items), total=len(items)))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/home/erogol/miniconda3/lib/python3.7/site-packages/ipykernel_launcher.py:3: TqdmDeprecationWarning: This function will be removed in tqdm==5.0.0\n",
+ "Please use `tqdm.notebook.tqdm` instead of `tqdm.tqdm_notebook`\n",
+ " This is separate from the ipykernel package so we can avoid doing imports until\n"
+ ]
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "53b7f6adb4db47279927ec064addb3c7",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "HBox(children=(FloatProgress(value=0.0, max=14610.0), HTML(value='')))"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ " > Number of words: 27102\n"
+ ]
+ }
+ ],
+ "source": [
+ "# count words in the dataset\n",
+ "w_count = Counter()\n",
+ "for item in tqdm(data):\n",
+ " text = item[1].lower().strip()\n",
+ " for word in text.split():\n",
+ " w_count[word] += 1\n",
+ "print(\" > Number of words: {}\".format(len(w_count)))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/home/erogol/miniconda3/lib/python3.7/site-packages/ipykernel_launcher.py:3: TqdmDeprecationWarning: This function will be removed in tqdm==5.0.0\n",
+ "Please use `tqdm.notebook.tqdm` instead of `tqdm.tqdm_notebook`\n",
+ " This is separate from the ipykernel package so we can avoid doing imports until\n"
+ ]
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "8b48c3415e2a4ac1a174502c2308501d",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "HBox(children=(FloatProgress(value=0.0, max=14610.0), HTML(value='')))"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n"
+ ]
+ }
+ ],
+ "source": [
+ "text_vs_durs = {} # text length vs audio duration\n",
+ "text_len_counter = Counter() # number of sentences with the keyed length\n",
+ "for item in tqdm(data):\n",
+ " text = item[1].lower().strip()\n",
+ " text_len = len(text)\n",
+ " text_len_counter[text_len] += 1\n",
+ " audio_len = item[-1]\n",
+ " try:\n",
+ " text_vs_durs[text_len] += [audio_len]\n",
+ " except:\n",
+ " text_vs_durs[text_len] = [audio_len]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [],
+ "source": [
+ "# text_len vs avg_audio_len, median_audio_len, std_audio_len\n",
+ "text_vs_avg = {}\n",
+ "text_vs_median = {}\n",
+ "text_vs_std = {}\n",
+ "for key, durs in text_vs_durs.items():\n",
+ " text_vs_avg[key] = np.mean(durs)\n",
+ " text_vs_median[key] = np.median(durs)\n",
+ " text_vs_std[key] = np.std(durs)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "source": [
+ "### Avg audio length per char"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {
+ "Collapsed": "false",
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_10_FINAL/10_7.wav', 'Schickes Heimkino!', 18, array([1.28518932e-05, 1.68334354e-05, 1.03571265e-05, ...,\n",
+ " 2.77877753e-05, 1.10460878e-05, 2.05760971e-05], dtype=float32), 1.5862083333333334)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_10_FINAL/10_12.wav', 'Das sieht ihm ähnlich.', 23, array([7.6380376e-05, 9.3327515e-05, 6.1386294e-05, ..., 3.4380835e-05,\n",
+ " 2.6692895e-05, 2.2882025e-06], dtype=float32), 1.6567083333333332)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_10_FINAL/10_20.wav', 'Oh, das Programm ist mir neu.', 29, array([-3.6327918e-05, -5.8332487e-05, -5.0294046e-05, ...,\n",
+ " -3.2606560e-05, -5.3037817e-05, -3.6754736e-05], dtype=float32), 1.8241458333333334)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_10_FINAL/10_21.wav', 'Niemand ist ein Alleskönner.', 29, array([2.5469655e-05, 1.5675920e-05, 2.6378759e-05, ..., 3.4840865e-05,\n",
+ " 3.4687979e-05, 2.3448023e-05], dtype=float32), 1.9034583333333333)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_10_FINAL/10_25.wav', 'Dagegen ist kein Kraut gewachsen.', 33, array([8.6409571e-05, 1.6211446e-04, 1.2149933e-04, ..., 1.4264301e-05,\n",
+ " 2.6473885e-05, 4.1174495e-05], dtype=float32), 1.91225)\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_10_FINAL/10_483.wav', 'Können sie mir ihr Passwort geben?', 35, array([ 2.5537942e-05, 5.2574283e-05, 5.7736743e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_10_FINAL/10_491.wav', 'Sie muss zum BogenschieÃ\\x9fen.', 28, array([-3.1108371e-05, -5.1357423e-05, -7.0860064e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_10_FINAL/10_514.wav', 'Ich will mich kurzfassen.', 25, array([-5.4538796e-06, 1.6863480e-05, -2.4184583e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_10_FINAL/10_516.wav', 'Oh mein Gott!', 13, array([ 1.0293347e-05, 2.3256578e-05, -2.6419082e-06, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_10_FINAL/10_536.wav', 'Da hat er sich verhaspelt.', 26, array([-1.2101016e-05, -4.1350278e-05, -2.5068364e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_10_FINAL/10_538.wav', 'Kann ich mir nicht vorstellen.', 30, array([-7.1259085e-05, -6.6917557e-05, -7.5606287e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_10_FINAL/10_554.wav', 'Das wird nicht billig.', 22, array([-1.2833251e-05, -2.6942225e-05, -1.1592191e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_10_FINAL/10_555.wav', 'Ã\\x9cberall wird hier gebaut.', 26, array([ 3.0397489e-06, 1.6576083e-05, 1.7184460e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_10_FINAL/10_556.wav', 'Was möchten Sie zu trinken?', 28, array([3.6597925e-05, 3.9522194e-05, 3.4265908e-05, ..., 4.9602304e-04,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_10_FINAL/10_559.wav', 'Waren Sie schon einmal bei uns?', 31, array([ 2.5204083e-06, -9.7146321e-06, 1.0508998e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_10_FINAL/10_579.wav', 'Traut sich sonst noch jemand?', 29, array([-3.4311914e-05, -1.9934920e-05, -3.6420348e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_10_FINAL/10_587.wav', 'Hier noch mal die Kurzform.', 27, array([ 4.8683055e-06, -9.0082349e-06, -6.4492651e-06, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_10_FINAL/10_594.wav', 'Haste mal nen Euro?', 19, array([-8.6395357e-06, -1.0812845e-05, -3.0906973e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_10_FINAL/10_599.wav', 'Wie schreibt man das?', 21, array([-3.6024519e-06, -2.5525418e-05, -2.9170100e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_10_FINAL/10_601.wav', 'Bleib einfach cool.', 19, array([-4.1984731e-05, -2.3916245e-05, -3.1576215e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_10_FINAL/10_603.wav', 'Davon können Sie ausgehen.', 27, array([ 1.0824577e-05, -1.7968627e-05, -1.6179658e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_10_FINAL/10_625.wav', 'Du musst anders fragen.', 23, array([ 4.8367940e-03, 6.8724523e-03, 6.1804145e-03, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_10_FINAL/10_628.wav', 'Es war nicht alles schlecht.', 28, array([ 1.08825125e-05, 1.04639130e-05, 8.46001694e-06, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_10_FINAL/10_665.wav', 'Hallo, ich bin der Neue!', 24, array([-2.4004371e-04, -3.8098267e-04, -3.8909691e-04, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_10_FINAL/10_675.wav', 'Nur um das klarzustellen.', 25, array([ 2.7598284e-05, 4.3499585e-05, -7.3542742e-06, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_10_FINAL/10_710.wav', 'Gute Nacht ihr Lausbuben!', 25, array([-3.4681521e-04, -4.7425818e-04, -4.6133957e-04, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_10_FINAL/10_750.wav', 'Geh mir nicht auf den Keks.', 27, array([ 3.7033031e-05, -1.8765691e-05, 3.5605895e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_12_FINAL/12_181.wav', 'Zur Anmeldung klicken Sie hier.', 31, array([ 5.3989668e-05, -9.8630007e-05, -1.1361165e-04, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_12_FINAL/12_298.wav', 'Kein Kommentar!', 15, array([2.0757825e-04, 2.0225085e-05, 1.0584419e-04, ..., 2.2611262e-05,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_12_FINAL/12_387.wav', 'Was soll das heiÃ\\x9fen?', 21, array([ 6.26799228e-05, -1.15550021e-04, -1.60253039e-04, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_299.wav', 'Der Wein muss noch atmen.', 25, array([-3.5341349e-04, -2.4482276e-04, -2.2705336e-04, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_300.wav', 'Das ist nichts Ernstes.', 23, array([1.5597578e-04, 1.7177081e-04, 6.1205690e-05, ..., 2.7641279e-05,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_311.wav', 'Nee, lass mal stecken.', 22, array([ 2.3692524e-05, 3.1590032e-05, -4.7385049e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_321.wav', 'Ha, das war die Rache!', 22, array([-1.6979642e-04, 3.3564411e-05, 1.1056512e-04, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_351.wav', 'Der Wein muss atmen können.', 28, array([2.9615656e-05, 4.3436296e-05, 8.0949460e-05, ..., 4.7385049e-05,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_354.wav', 'Mieter haben Rechte.', 20, array([-1.5795016e-05, -9.8718847e-06, 3.3564411e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_369.wav', 'Was für eine Erkenntnis!', 25, array([-1.02667604e-04, -8.68725911e-05, -4.73850487e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_371.wav', 'Ich schieÃ\\x9fe mit rechts.', 24, array([ 1.3623202e-04, 7.8975077e-05, 4.3436296e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_376.wav', 'Ist Scooter nicht eine Band?', 28, array([ 3.5538786e-05, 0.0000000e+00, -5.9231311e-06, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_387.wav', 'Wir sind Dickhäuter.', 21, array([1.52027031e-04, 1.12539492e-04, 1.02667604e-04, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_389.wav', 'Sei nicht so streng mit ihm!', 28, array([-3.5538786e-05, 1.7769393e-05, 7.1077571e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_390.wav', 'Na ja, was willst du machen?', 28, array([-1.3820640e-05, -4.1461917e-05, -4.5410670e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_426.wav', 'Hier bitte eine Unterschrift.', 29, array([1.6979642e-04, 1.8361707e-04, 1.7177081e-04, ..., 1.5202703e-04,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_430.wav', 'Zum Glück nicht.', 17, array([-6.7128822e-05, -9.8718854e-05, -3.1590032e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_439.wav', 'Mach dir nichts daraus.', 23, array([ 4.2843982e-04, 5.0938927e-04, 4.6595297e-04, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_443.wav', 'Lauf doch nicht immer durchs Bild!', 34, array([-3.5538786e-04, -1.7769393e-04, -1.1451387e-04, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_464.wav', 'Hände hoch!', 12, array([-2.0138646e-04, -1.3425764e-04, -8.0949460e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_475.wav', 'Was weiÃ\\x9f ich denn?', 19, array([-2.7641279e-05, -1.9743770e-06, 8.2923834e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_487.wav', 'Ich will noch nicht ins Bett!', 29, array([ 5.7256933e-05, -7.8975081e-06, 1.7769393e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_499.wav', 'Darüber kann man streiten.', 27, array([ 0.00011846, 0.00020534, 0.00027839, ..., -0.00031195,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_500.wav', 'Dazu braucht man Ruhe.', 22, array([-1.1056512e-04, -1.4610391e-04, -1.3425764e-04, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_524.wav', 'Das Zeug ist wirklich gut.', 26, array([-3.9487541e-06, 3.5538786e-05, -9.8718847e-06, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_539.wav', 'Betäubungsgewehr geladen!', 26, array([ 3.5538786e-05, 2.3692524e-05, 0.0000000e+00, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_547.wav', 'Was wird wie geschrieben?', 25, array([-0.00012636, -0.00020336, -0.0002231 , ..., 0.00021521,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_569.wav', 'Nicht schon wieder, bitte.', 26, array([ 0.00035736, 0.00043436, 0.00037316, ..., -0.00013821,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_582.wav', 'Bist du blind?', 14, array([ 1.9743769e-05, -1.5795016e-05, -5.7256933e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_592.wav', 'Blinzeln zählt nicht.', 22, array([ 5.9231311e-06, -4.5410670e-05, -9.8718854e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_595.wav', 'Ja, warum denn bitte schön nicht?', 34, array([-0.00036329, -0.00033959, -0.00036131, ..., -0.00016585,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_597.wav', 'Mir wäre das peinlich.', 23, array([ 5.9231312e-05, 1.2241138e-04, 7.5026328e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_637.wav', 'So kann es gehen.', 17, array([-7.8975081e-06, 3.9487541e-06, 4.1461917e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_642.wav', 'Es bleibt spannend.', 19, array([1.8559145e-04, 1.8559145e-04, 1.5597578e-04, ..., 7.3051953e-05,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_647.wav', 'Marek will noch mal.', 20, array([-2.44822761e-04, -1.04641986e-04, -8.09494595e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_661.wav', 'Ruhig Brauner!', 14, array([-1.02667604e-04, -4.73850487e-05, 8.09494595e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_682.wav', 'Meine Rede!', 11, array([5.9428747e-04, 5.0544052e-04, 2.0730958e-04, ..., 7.5026328e-05,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_685.wav', 'Was versprichst du dir davon?', 29, array([-1.1846262e-05, -9.8718847e-06, 4.3436296e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_693.wav', 'Ich nehme euch alle.', 20, array([-3.1590032e-05, -5.9231311e-06, -7.5026328e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_711.wav', 'Warum nämlich?', 15, array([ 5.9231312e-05, 5.9231312e-05, 3.1590032e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_712.wav', 'Das hätte ich beinahe vergessen.', 33, array([-2.1125835e-04, -2.4482276e-04, -1.4610391e-04, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_726.wav', 'Möchtest du auch einen Muffin?', 31, array([-3.9487539e-05, -2.7641279e-05, 6.3180065e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_727.wav', 'Es hat nichts mit dir zu tun.', 29, array([-1.6584767e-04, -1.9348894e-04, -2.7641279e-04, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_732.wav', 'Vielleicht war ich etwas vorschnell.', 36, array([1.7177081e-04, 1.6584767e-04, 8.6872591e-05, ..., 1.9546332e-04,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_735.wav', 'Hatschi!', 8, array([ 1.2043700e-04, -1.7769393e-05, -1.9743770e-06, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_739.wav', 'Ich bleibe dabei.', 17, array([-2.0533521e-04, -1.2438576e-04, -5.5282559e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_762.wav', 'Nicht zu fassen!', 16, array([1.7414006e-03, 1.4353720e-03, 9.6547039e-04, ..., 6.3180065e-05,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_773.wav', 'Gute Besserung!', 15, array([-5.1333802e-05, 0.0000000e+00, 2.1718148e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_775.wav', 'Ja, so ist es wohl.', 19, array([-1.61898919e-04, 1.97437694e-05, 1.02667604e-04, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_778.wav', 'Mich selbst hat das überrascht.', 32, array([7.7000703e-05, 1.1846262e-04, 1.2241138e-04, ..., 1.3820639e-04,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_782.wav', 'Wer kennt das nicht?', 20, array([-2.7641279e-05, 7.8975081e-06, -3.7513164e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_787.wav', 'Ich liebe diese Musik!', 22, array([-1.8361707e-04, -6.9103196e-05, -9.0821341e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_800.wav', 'Na endlich!', 11, array([-1.1846262e-04, -1.5202703e-04, -8.4898209e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_805.wav', 'Juliane gruselt sich.', 21, array([1.3425764e-04, 7.1077571e-05, 6.5154440e-05, ..., 9.8718854e-05,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_808.wav', 'Der andere nimmt.', 17, array([-8.6872591e-05, -1.1451387e-04, -8.2923834e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_814.wav', 'Wieso ich?', 10, array([-1.14513867e-04, -1.02667604e-04, -1.77693932e-04, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_816.wav', 'Die Haare müssen ab.', 21, array([ 1.9546332e-04, 1.2636013e-04, 2.1125835e-04, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_13_FINAL/13_844.wav', 'Die ganze Woche steht das schon an.', 35, array([ 1.0602404e-03, 1.1017023e-03, 9.0031594e-04, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_7.wav', 'Meinen Respekt hast du.', 23, array([-8.1613541e-07, 3.6258320e-05, 5.8615900e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_12.wav', 'Mein SchweiÃ\\x9f stinkt nicht.', 27, array([1.2758464e-03, 1.4472028e-03, 1.4819785e-03, ..., 1.1448720e-05,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_24.wav', 'So sieht es jedenfalls aus.', 27, array([ 3.5462443e-05, -3.6511621e-05, -2.4387444e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_31.wav', 'Es brennt lichterloh.', 21, array([-7.8527468e-05, -1.9054073e-04, -1.8275550e-04, ...,\n",
+ " -1.4771417e-05, 2.4868292e-05, -1.4910699e-05], dtype=float32), 1.8986666666666667)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_36.wav', 'Hat jemand Deo dabei?', 21, array([5.0298637e-05, 4.8803475e-05, 5.4532258e-05, ..., 3.4226623e-06,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_44.wav', 'Der Hund will raus.', 19, array([-8.2374172e-05, -8.4805586e-05, -9.4096496e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_46.wav', 'Nur Fliegen ist schöner.', 25, array([-2.5430196e-05, -6.4560918e-05, -6.8181558e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_57.wav', 'Endlich wieder Nachschub!', 25, array([-3.0662410e-05, -3.7799236e-05, -1.0512020e-04, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_63.wav', \"Jetzt langt's dann aber.\", 24, array([ 1.3113129e-06, -5.7142366e-05, 3.9664551e-06, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_76.wav', 'Ist hier noch ein Platz frei?', 29, array([ 4.6084756e-06, 2.1333383e-06, 1.0840034e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_91.wav', 'Möchten Sie durch?', 19, array([5.3242915e-05, 1.1775635e-04, 9.1564674e-05, ..., 6.9772730e-05,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_94.wav', 'Du hast sie angemalt.', 21, array([-8.2009647e-06, -7.8560508e-05, -1.1781590e-04, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_97.wav', 'Anfassen heiÃ\\x9ft kaufen.', 23, array([ 6.7132327e-04, 6.4567651e-04, 4.5344225e-04, ...,\n",
+ " -2.1742040e-05, -1.2411790e-04, -3.8199389e-05], dtype=float32), 1.472)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_104.wav', 'Warum nicht lieber hier?', 24, array([-1.0701143e-05, -1.5738879e-06, 6.8153045e-06, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_112.wav', 'Das war ein Abenteuer.', 22, array([ 2.6408197e-05, -6.0915321e-05, -9.1295704e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_127.wav', 'Das wäre fatal.', 16, array([ 4.4660061e-05, -6.5924425e-05, -5.6830704e-05, ...,\n",
+ " -5.5352357e-06, 3.0260082e-05, 9.7271128e-05], dtype=float32), 1.4666666666666666)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_141.wav', 'Nicht doch!', 11, array([-1.4546166e-04, -1.4626759e-04, -9.7611184e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_146.wav', 'Heiliger Strohsack!', 19, array([-3.7175673e-04, -2.1206291e-04, -8.9090288e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_153.wav', 'Gehen wir in die Eisdiele?', 26, array([-3.72752729e-05, -6.43968451e-05, -1.19852075e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_158.wav', 'Das ist halt so.', 16, array([ 2.1661433e-05, -9.2656213e-05, -2.0038491e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_174.wav', 'Ich habe dich noch nie gesehen.', 31, array([ 1.68298247e-05, 2.35711445e-06, -1.13152724e-04, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_179.wav', 'Das muss hart für dich sein.', 29, array([-9.2038817e-06, -9.7612574e-06, -6.3460277e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_183.wav', \"Packen wir's!\", 13, array([-2.2114466e-05, 6.0876686e-05, -8.3392551e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_194.wav', 'Wir werden siegen!', 18, array([ 1.6911860e-04, 7.4598174e-05, 1.0261347e-04, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_197.wav', 'Darf ich mal bei dir abbeiÃ\\x9fen?', 31, array([-1.0340806e-05, 7.1646286e-06, 3.3313339e-05, ...,\n",
+ " -7.5323747e-05, -2.6892374e-07, -3.3816039e-05], dtype=float32), 1.76)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_199.wav', 'Das ging aber fix!', 18, array([-9.3143040e-05, -4.3784836e-05, -1.1206182e-04, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_211.wav', 'Ich habe nachgedacht.', 21, array([ 5.0232731e-05, 1.2072114e-04, 1.8210443e-04, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_229.wav', 'Wir lassen uns nicht erpressen.', 31, array([1.37981799e-04, 1.52958339e-04, 1.10953624e-04, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_236.wav', 'Sag du es mir.', 14, array([ 7.4462928e-06, -2.0409609e-05, -3.6314952e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_240.wav', 'Ich vermisse ihn seit gestern.', 30, array([ 2.9365596e-04, 3.4678026e-04, 3.5397714e-04, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_257.wav', 'So kannte ich sie gar nicht.', 28, array([ 4.4733344e-05, 7.7341829e-05, 1.1480036e-04, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_258.wav', 'Dem Kind geht es gut.', 21, array([ 2.3389544e-05, -1.0488247e-05, 1.0429079e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_260.wav', 'Lasst es krachen!', 17, array([-2.1083563e-04, -8.3892046e-05, -3.2037347e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_266.wav', 'Wie sehen Sie überhaupt aus?', 29, array([-1.0680479e-05, -1.9320854e-05, -7.0852952e-06, ...,\n",
+ " -1.0408241e-05, 3.3198389e-06, 2.1512881e-06], dtype=float32), 1.8826666666666667)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_281.wav', 'Damit könnte es klappen.', 25, array([-2.3432081e-05, -2.4900844e-05, -1.3450766e-04, ...,\n",
+ " 2.1617279e-05, 3.1534404e-05, -2.2315735e-05], dtype=float32), 1.488)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_307.wav', 'Tut das Husten weh?', 19, array([ 9.1145994e-06, 1.5820089e-05, 5.0116945e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_310.wav', 'Und jetzt kräftig kurbeln!', 27, array([-8.4867512e-05, -1.3528325e-05, 6.7344299e-05, ...,\n",
+ " -5.5355646e-05, 3.2757125e-05, -1.3706725e-05], dtype=float32), 1.968)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_311.wav', 'Und was bekommt man geboten?', 28, array([-9.42486338e-07, -6.20736901e-05, -1.13615904e-04, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_313.wav', 'Nimm doch mal den Hut ab!', 25, array([-1.4411381e-06, 1.8580539e-04, 1.8933907e-04, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_322.wav', 'Der ist sauber.', 15, array([1.3459381e-04, 1.1068168e-04, 1.4088971e-04, ..., 1.4206764e-04,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_333.wav', 'Danke für nichts!', 18, array([-2.6258719e-04, -2.9124424e-04, -4.0630574e-04, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_351.wav', 'Hier ist sie.', 13, array([-3.23740860e-05, -1.03745086e-04, -6.84802653e-05, ...,\n",
+ " 6.36538107e-06, 6.47425259e-05, -2.68384956e-05], dtype=float32), 1.2693333333333334)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_354.wav', 'Ist sie international bekannt?', 30, array([ 1.5060005e-05, 5.7448578e-05, 1.3811006e-04, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_363.wav', 'Ich meine ja nur.', 17, array([ 5.6321147e-05, 9.9655284e-05, -8.9936962e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_390.wav', 'Gib mal die Seriennummer durch.', 31, array([ 7.2849958e-05, 9.1718932e-05, 5.6555116e-05, ...,\n",
+ " -2.9702240e-05, 3.8465154e-05, 2.2035034e-05], dtype=float32), 1.9466666666666668)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_399.wav', 'Steht das Wasser auf dem Herd?', 30, array([6.5801214e-05, 1.3084775e-04, 8.1372353e-05, ..., 6.8494905e-05,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_401.wav', 'Oh ja!', 6, array([ 2.2632883e-05, -2.7574149e-05, 2.7717488e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_409.wav', 'Ja oder nein?', 13, array([ 3.4988134e-05, -6.8858870e-05, -8.5955844e-06, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_411.wav', 'Ist doch Jacke wie Hose.', 24, array([ 1.1507938e-04, 5.0565839e-05, -2.7287895e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_413.wav', 'Ich habe es nie gelernt.', 24, array([ 2.58978853e-05, 6.50478396e-05, -1.03702390e-04, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_429.wav', 'Nicht schon wieder eine Razzia!', 31, array([-5.1378167e-05, -2.5352152e-05, -3.2764001e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_431.wav', 'Niemand will es gewesen sein.', 29, array([6.13634029e-06, 1.00043821e-04, 1.26646410e-04, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_443.wav', 'Ihr seid doch bloÃ\\x9f neidisch.', 29, array([ 4.71922749e-06, -1.42986255e-05, 4.10590292e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_453.wav', 'Lesen lohnt sich.', 17, array([-1.1143904e-04, -9.7466742e-05, -1.4505965e-04, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_458.wav', 'Oder er wurde dabei gestört.', 29, array([-1.8823694e-05, -3.1060394e-05, -9.3846960e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_459.wav', 'Die Seele baumeln lassen.', 25, array([-4.6934008e-05, -1.4115409e-04, -1.9004452e-04, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_468.wav', 'Der Nächste, bitte!', 20, array([ 8.1093880e-05, 2.9958397e-05, -3.9947310e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_469.wav', 'Wird schon schiefgehen.', 23, array([-1.8012641e-05, -6.1548446e-05, -1.2534855e-04, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_476.wav', 'Keine falsche Bewegung!', 23, array([-1.3065083e-04, -1.9577878e-04, -9.6719399e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_495.wav', 'Vorwärts immer, rückwarts nimmer!', 35, array([ 9.8868964e-05, 1.4638813e-04, 8.2029030e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_508.wav', 'Ein Spanngurt ist gerissen.', 27, array([-1.3210842e-05, 5.2183852e-05, 1.1509426e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_511.wav', 'Das musst du gerade sagen!', 26, array([ 8.16162283e-05, 1.48853534e-04, 1.20252385e-04, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_517.wav', 'Lösen Sie das Captcha!', 23, array([-3.2288870e-05, 5.6598521e-05, 4.2188087e-05, ...,\n",
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+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_329.wav', 'So viele schon?', 15, array([-1.1451387e-04, -9.4770097e-05, 1.3820640e-05, ...,\n",
+ " -9.8718847e-06, 7.8975081e-06, 3.3564411e-05], dtype=float32), 1.32625)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_339.wav', 'Noch nicht.', 11, array([-1.1569849e-03, -1.1234205e-03, -1.1056511e-03, ...,\n",
+ " -4.1461917e-05, -1.9743770e-06, -2.3692524e-05], dtype=float32), 0.9473229166666667)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_351.wav', 'So alt bin ich dann auch wieder nicht.', 38, array([ 1.0957792e-03, 8.6082838e-04, 5.8836438e-04, ...,\n",
+ " -7.7000703e-05, -1.0661636e-04, -5.3308180e-05], dtype=float32), 1.9100520833333334)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_352.wav', 'Diese Gelegenheit kann man nutzen.', 34, array([ 1.2043700e-04, 1.9743769e-05, 7.5026328e-05, ...,\n",
+ " 3.1590032e-05, 6.5154440e-05, -5.1333802e-05], dtype=float32), 1.9981770833333334)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_361.wav', 'Bist neidisch, was?', 19, array([ 3.9487539e-05, 1.7769393e-05, -2.9615656e-05, ...,\n",
+ " -5.9231311e-06, 1.9743770e-06, -3.1590032e-05], dtype=float32), 1.4848645833333334)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_364.wav', 'Puh, das Quiz ist schwer!', 25, array([-5.9231312e-05, -6.9103196e-05, -8.2923834e-05, ...,\n",
+ " 1.3623202e-04, 1.3030888e-04, 2.1520710e-04], dtype=float32), 1.9497083333333334)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_371.wav', 'Alles klärchen!', 16, array([-3.9487541e-06, 3.3564411e-05, 1.5795016e-05, ...,\n",
+ " 5.1333802e-05, 6.1205690e-05, 3.5538786e-05], dtype=float32), 1.5068854166666668)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_392.wav', 'Zeig mal dein Piercing!', 23, array([ 5.7256933e-05, 1.3820640e-05, 3.5538786e-05, ...,\n",
+ " -6.1205690e-05, -9.8718847e-06, 5.5282559e-05], dtype=float32), 1.7712604166666666)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_393.wav', 'Parlieren Sie doch im Park!', 27, array([-7.1077571e-05, -5.3308180e-05, -5.7256933e-05, ...,\n",
+ " 1.5795015e-04, 1.1253949e-04, 1.0069323e-04], dtype=float32), 1.8505729166666667)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_400.wav', 'Hä, was? 400', 13, array([ 3.5538786e-04, 2.7443841e-04, 2.5469463e-04, ...,\n",
+ " -6.3180065e-05, -1.7769393e-05, -5.9231311e-06], dtype=float32), 0.98696875)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_431.wav', 'Tun Sie nicht so überrascht!', 29, array([-2.2310461e-04, -2.6259213e-04, -3.0800281e-04, ...,\n",
+ " -7.7000703e-05, -1.0661636e-04, -1.1451387e-04], dtype=float32), 1.6743229166666667)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_438.wav', 'Was lernen wir daraus?', 22, array([ 3.35644108e-05, -7.70007027e-05, -7.30519532e-05, ...,\n",
+ " -1.02667604e-04, -8.68725911e-05, -2.76412793e-05], dtype=float32), 1.9078541666666666)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_439.wav', 'Was will sie denn noch?', 23, array([ 5.3308180e-05, 5.7256933e-05, -3.9487539e-05, ...,\n",
+ " -3.9487541e-06, 5.5282559e-05, 6.9103196e-05], dtype=float32), 1.7624479166666667)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_441.wav', 'Ich stecke fest.', 16, array([-1.6584767e-04, -1.5795015e-04, -1.3030888e-04, ...,\n",
+ " 9.2795723e-05, 7.5026328e-05, 7.5026328e-05], dtype=float32), 1.2976041666666667)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_451.wav', 'Es riecht nach Sonnencreme.', 27, array([-4.1461917e-05, -3.7513164e-05, 2.1718148e-05, ...,\n",
+ " -2.7641279e-05, -1.0661636e-04, -1.0069323e-04], dtype=float32), 1.7007604166666668)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_452.wav', 'Da entlang!', 11, array([-1.7769393e-05, 5.9231311e-06, 1.7769393e-05, ...,\n",
+ " -7.8975081e-06, 7.8975081e-06, 0.0000000e+00], dtype=float32), 0.97815625)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_453.wav', 'Tja, Thaddäus!', 15, array([-9.87188541e-05, -1.46103906e-04, -1.24385755e-04, ...,\n",
+ " 1.02667604e-04, 1.97437703e-06, -2.76412793e-05], dtype=float32), 1.6787395833333334)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_458.wav', 'Das Leben ist voller Ã\\x9cberraschungen.', 37, array([-3.9487539e-05, 1.1846262e-05, -1.3820640e-05, ...,\n",
+ " 6.1205690e-05, 3.1590032e-05, 1.9743770e-06], dtype=float32), 1.9739375)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_460.wav', 'Danke der Nachfrage!460', 23, array([ 8.29238343e-05, 1.16488241e-04, 9.67444721e-05, ...,\n",
+ " -1.12539492e-04, -1.08590735e-04, -1.42155142e-04], dtype=float32), 1.4275833333333334)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_465.wav', 'Ich will auch so ein Pferd.', 27, array([ 0.0000000e+00, 1.9743770e-06, -3.1590032e-05, ...,\n",
+ " 7.8975077e-05, -3.9487539e-05, -5.7256933e-05], dtype=float32), 1.5404791666666666)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_473.wav', 'Was hat das zu bedeuten?', 24, array([-1.26360130e-04, -1.08590735e-04, -1.16488241e-04, ...,\n",
+ " 8.29238343e-05, 2.36925243e-05, -1.57950162e-05], dtype=float32), 1.8241354166666666)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_492.wav', 'Die Narkose wirkt nicht.', 24, array([ 1.7571956e-04, 1.6782204e-04, 7.8975077e-05, ...,\n",
+ " 3.1590032e-05, -2.1718148e-05, -2.7641279e-05], dtype=float32), 1.965125)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_495.wav', 'Dein Bruder ist echt krass drauf.', 33, array([-7.10775712e-05, -3.35644108e-05, -2.17181478e-05, ...,\n",
+ " 1.16488241e-04, 1.02667604e-04, 7.89750775e-05], dtype=float32), 1.9563125)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_498.wav', 'Das behaupten alle.', 19, array([-1.1253949e-04, -1.1846262e-04, -9.8718854e-05, ...,\n",
+ " 5.5282559e-05, -1.1846262e-05, 4.5410670e-05], dtype=float32), 1.3658958333333333)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_500.wav', 'So einfach ist es nicht.', 24, array([-0.00019349, -0.00019744, -0.00022113, ..., -0.00021521,\n",
+ " -0.0002231 , -0.00020534], dtype=float32), 1.7976979166666667)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_503.wav', 'Das gibt ihm den Rest.', 22, array([-3.94875406e-06, -6.71288217e-05, -1.20436998e-04, ...,\n",
+ " 1.04641986e-04, 1.24385755e-04, 1.14513867e-04], dtype=float32), 1.5068958333333333)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_507.wav', 'Was fällt euch ein?', 20, array([9.8718854e-05, 9.0821341e-05, 6.7128822e-05, ..., 1.7374518e-04,\n",
+ " 2.0730958e-04, 1.5795015e-04], dtype=float32), 1.5421458333333333)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_511.wav', 'Lass die Glucke in Ruhe!', 24, array([2.6851529e-04, 2.3692525e-04, 8.2923834e-05, ..., 9.2795723e-05,\n",
+ " 6.3180065e-05, 6.1205690e-05], dtype=float32), 1.4099583333333334)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_512.wav', 'Wieso denn das nicht?', 21, array([-3.9487541e-06, -2.5666901e-05, -6.9103196e-05, ...,\n",
+ " 3.1590032e-05, -1.9743770e-06, 1.3820640e-05], dtype=float32), 1.4804583333333334)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_542.wav', 'Na gut, ich komme mit.', 22, array([ 6.3180065e-05, -3.9487541e-06, 4.3436296e-05, ...,\n",
+ " -6.9103196e-05, -6.5154440e-05, 7.8975081e-06], dtype=float32), 1.8329479166666667)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_543.wav', 'Entschuldige dich bei ihr.', 26, array([-9.6744472e-05, -7.8975077e-05, -5.1333802e-05, ...,\n",
+ " -7.7000703e-05, -1.2241138e-04, -5.9231312e-05], dtype=float32), 1.7624479166666667)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_544.wav', 'Das reimt sich ja.', 18, array([ 1.1056512e-04, 8.4898209e-05, 1.1648824e-04, ...,\n",
+ " -9.0821341e-05, -1.1451387e-04, -1.1253949e-04], dtype=float32), 1.25134375)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_549.wav', 'Sie kamen, um zu bleiben.', 25, array([ 3.9487539e-05, 7.8975081e-06, 3.3564411e-05, ...,\n",
+ " 2.1718148e-05, -2.7641279e-05, -9.6744472e-05], dtype=float32), 1.8593854166666666)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_555.wav', 'Sie nimmt kein Blatt vor den Mund.', 34, array([-1.1569849e-03, -7.0287823e-04, -5.3308180e-05, ...,\n",
+ " 2.5666901e-05, 1.5795016e-05, -1.9743769e-05], dtype=float32), 1.8021041666666666)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_556.wav', 'Hoffentlich geht es ihm gut.', 28, array([1.0187785e-03, 1.1372411e-03, 1.2616270e-03, ..., 3.5538786e-05,\n",
+ " 7.8975081e-06, 5.9231312e-05], dtype=float32), 1.9342916666666667)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_557.wav', 'Vergiss deine Schoner nicht!', 28, array([ 3.9487539e-05, -5.5282559e-05, -2.0336083e-04, ...,\n",
+ " -6.9103196e-05, -7.1077571e-05, -7.1077571e-05], dtype=float32), 1.8461666666666667)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_590.wav', 'Wenn du schon so fragst!', 24, array([ 1.4610391e-04, 1.4807828e-04, 1.7966831e-04, ...,\n",
+ " 1.7769393e-05, -4.3436296e-05, -2.7641279e-05], dtype=float32), 1.8329479166666667)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_595.wav', 'Was muss ich einkaufen?', 23, array([ 0.00016387, 0.00012636, 0.00011254, ..., -0.00010464,\n",
+ " -0.00011649, -0.00010464], dtype=float32), 1.6038229166666667)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_599.wav', 'Der tut nichts!', 15, array([ 9.2795723e-05, 6.1205690e-05, 2.5666901e-05, ...,\n",
+ " -1.1648824e-04, -9.8718854e-05, -7.8975077e-05], dtype=float32), 1.16321875)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_605.wav', 'Natürlich war es das.', 22, array([3.1590032e-05, 1.9743769e-05, 7.8975077e-05, ..., 1.4610391e-04,\n",
+ " 1.6782204e-04, 1.4412952e-04], dtype=float32), 1.5157083333333334)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_612.wav', 'Sprechen Sie deutsch?', 21, array([ 2.05335207e-04, 1.91514569e-04, 1.57950155e-04, ...,\n",
+ " 2.96156559e-05, -6.31800649e-05, -1.02667604e-04], dtype=float32), 1.5157083333333334)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_616.wav', 'Gleich hole ich Anne ab.', 24, array([6.3180065e-05, 7.1077571e-05, 1.2636013e-04, ..., 2.1718148e-05,\n",
+ " 3.1590032e-05, 1.3820640e-05], dtype=float32), 1.4099583333333334)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_646.wav', 'Ich bin ganz hin und weg!', 25, array([-3.5143911e-04, -2.5666901e-04, -1.6979642e-04, ...,\n",
+ " -4.3436296e-05, -6.1205690e-05, 4.3436296e-05], dtype=float32), 1.7800729166666667)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_647.wav', 'Frische Luft tut gut.', 21, array([ 1.04641986e-04, 1.97437703e-06, -7.89750811e-06, ...,\n",
+ " 8.48982090e-05, 1.38206397e-05, -7.89750811e-06], dtype=float32), 1.6655104166666668)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_652.wav', 'Nein, du Genie!', 15, array([1.3623202e-04, 1.2833450e-04, 1.2833450e-04, ..., 2.7641279e-05,\n",
+ " 4.5410670e-05, 5.1333802e-05], dtype=float32), 1.5068958333333333)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_675.wav', 'Das kann doch wohl nicht wahr sein!', 35, array([-1.9743769e-05, -3.3564411e-05, 3.1590032e-05, ...,\n",
+ " 9.2795723e-05, 9.6744472e-05, 1.2043700e-04], dtype=float32), 1.9827604166666666)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_684.wav', 'Jedes Kind weiÃ\\x9f das.', 21, array([-1.204370e-04, -1.382064e-04, -9.674447e-05, ..., -1.461039e-04,\n",
+ " -1.382064e-04, -8.489821e-05], dtype=float32), 1.4716458333333333)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_711.wav', 'Die werden ja nicht schlecht.', 29, array([-1.3030888e-04, -1.0069323e-04, -8.2923834e-05, ...,\n",
+ " -1.3228325e-04, -1.1253949e-04, -9.6744472e-05], dtype=float32), 1.4716458333333333)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_719.wav', 'Das Leben ist schön!', 21, array([ 2.5666901e-05, 4.7385049e-05, 2.9615656e-05, ...,\n",
+ " -3.3564411e-05, 3.3564411e-05, 7.8975077e-05], dtype=float32), 1.2953958333333333)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_720.wav', 'Was machst du jetzt?', 20, array([-1.5597578e-04, -1.2833450e-04, -1.3425764e-04, ...,\n",
+ " -5.3308180e-05, -3.9487541e-06, 3.9487541e-06], dtype=float32), 1.4099583333333334)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_728.wav', 'Falsche Antwort.', 16, array([-5.1333802e-05, -1.1846262e-05, 9.8718847e-06, ...,\n",
+ " -9.8718847e-06, -4.7385049e-05, -5.3308180e-05], dtype=float32), 1.3923333333333334)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_743.wav', 'Oder wir gehen Burger essen.', 28, array([-2.9615656e-05, -4.7385049e-05, -3.1590032e-05, ...,\n",
+ " -8.2923834e-05, -5.1333802e-05, 6.3180065e-05], dtype=float32), 1.7007604166666668)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_744.wav', 'Lasst mich allein!', 18, array([-0.00018757, -0.00018757, -0.00024877, ..., -0.00011846,\n",
+ " -0.00011057, -0.00013031], dtype=float32), 1.7007604166666668)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_745.wav', 'Da sind wir wieder.', 19, array([7.2459638e-04, 7.7395578e-04, 8.3911023e-04, ..., 0.0000000e+00,\n",
+ " 1.3820640e-05, 1.7769393e-05], dtype=float32), 1.4804583333333334)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_754.wav', 'So weit, so gut.', 16, array([-1.7769393e-05, -3.5538786e-05, 3.5538786e-05, ...,\n",
+ " 9.8718847e-06, -5.3308180e-05, -4.3436296e-05], dtype=float32), 1.5245208333333333)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_756.wav', 'Alles war voller Qualm.', 23, array([ 6.3180065e-05, 2.9615656e-05, 3.7513164e-05, ...,\n",
+ " -3.1590032e-05, -3.3564411e-05, 2.1718148e-05], dtype=float32), 1.5333333333333334)\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_9_FINAL/9_765.wav', 'Fick dich!', 10, array([-3.9487539e-05, -8.0949460e-05, -5.7256933e-05, ...,\n",
+ " 3.9487539e-05, 7.8975077e-05, 9.4770097e-05], dtype=float32), 0.9076666666666666)\n"
+ ]
+ }
+ ],
+ "source": [
+ "# print clips shorter than 2 sec\n",
+ "for item in data:\n",
+ " if item[-1] < 2:\n",
+ " print(item)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [],
+ "source": [
+ "sec_per_chars = []\n",
+ "for item in data:\n",
+ " text = item[1]\n",
+ " dur = item[-1]\n",
+ " sec_per_char = dur / len(text)\n",
+ " sec_per_chars.append(sec_per_char)\n",
+ "# sec_per_char /= len(data)\n",
+ "# print(sec_per_char)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " > Average durations per char: 0.07641993439576344\n",
+ " > STD duration per char: 0.015251748851166484\n"
+ ]
+ }
+ ],
+ "source": [
+ "mean = np.mean(sec_per_chars)\n",
+ "std = np.std(sec_per_chars)\n",
+ "print(\" > Average durations per char: \", mean)\n",
+ "print(\" > STD duration per char: \", std)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [],
+ "source": [
+ "# fit a distribution\n",
+ "dist = norm(mean, std)\n",
+ "\n",
+ "# find irregular instances long or short voice durations\n",
+ "items =[]\n",
+ "pdfs = []\n",
+ "for item in data:\n",
+ " text = item[1]\n",
+ " dur = item[-1]\n",
+ " sec_per_char = dur / len(text)\n",
+ " pdf = norm.pdf(sec_per_char)\n",
+ " pdfs.append(pdf)\n",
+ " items.append(item)\n",
+ "# if pdf < 0.395:\n",
+ "# print(item)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[]"
+ ]
+ },
+ "execution_count": 19,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# plot pdf values too see outliers\n",
+ "plt.figure(figsize=[16,16])\n",
+ "plt.plot(pdfs)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_11_FINAL/11_227.wav', 'Q-R-S-T-U-V-W-X-Y-Z macht es komplett!', 38, array([-4.0032621e-04, -3.3042193e-04, -3.4537757e-04, ...,\n",
+ " 7.7704317e-06, 2.7401828e-05, 7.1041533e-05], dtype=float32), 11.323739583333333) 0.38161673291429454\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_14_FINAL/14_496.wav', 'Ist der Kuli blau?', 18, array([ 1.2363373e-05, -3.6298752e-05, 2.1456377e-05, ...,\n",
+ " 3.9692618e-06, -6.7328816e-05, -9.5399046e-05], dtype=float32), 5.530666666666667) 0.38054811432758695\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_17_FINAL/17_426.wav', 'H-I-J-K-L-M-N-O-P!', 18, array([ 4.7872534e-05, -3.4164757e-05, -2.1835160e-04, ...,\n",
+ " -4.3899294e-05, -7.5021897e-05, -3.4489829e-05], dtype=float32), 11.167979166666667) 0.32909346861901806\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_2_FINAL/2_119.wav', 'Kann ich mich irgendwie revanchieren?', 37, array([-5.1586820e-05, -9.1837741e-05, -9.9342957e-05, ...,\n",
+ " -1.4234778e-04, -1.2327779e-04, -1.4810068e-04], dtype=float32), 9.728) 0.3853891360487213\n",
+ "('/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_5_FINAL/5_41.wav', 'Ja, eben.', 9, array([ 8.6438486e-05, 1.5554321e-04, 1.1511238e-04, ...,\n",
+ " -1.3761004e-05, -2.3534812e-05, -5.6318945e-06], dtype=float32), 2.1033333333333335) 0.38819509492217963\n"
+ ]
+ }
+ ],
+ "source": [
+ "# print outliers\n",
+ "threshold = 0.39\n",
+ "for item, pdf in zip(items, pdfs):\n",
+ " if pdf < threshold:\n",
+ " print(item, pdf)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 24,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ " \n",
+ " "
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 24,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "from IPython.display import Audio\n",
+ "Audio(\"/home/erogol/Data/Mozilla_DE_Thomas3/BATCH_2_FINAL/2_119.wav\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "source": [
+ "### Plot Dataset Statistics"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 25,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 25,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.title(\"text length vs mean audio duration\")\n",
+ "plt.scatter(list(text_vs_avg.keys()), list(text_vs_avg.values()))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 26,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 26,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.title(\"text length vs median audio duration\")\n",
+ "plt.scatter(list(text_vs_median.keys()), list(text_vs_median.values()))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 27,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 27,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.title(\"text length vs STD\")\n",
+ "plt.scatter(list(text_vs_std.keys()), list(text_vs_std.values()))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 28,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 28,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.title(\"text length vs # instances\")\n",
+ "plt.scatter(list(text_len_counter.keys()), list(text_len_counter.values()))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "source": [
+ "### Check words frequencies"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 29,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [],
+ "source": [
+ "w_count_df = pd.DataFrame.from_dict(w_count, orient='index')\n",
+ "w_count_df.sort_values(0, ascending=False, inplace=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 32,
+ "metadata": {
+ "Collapsed": "false",
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " die | \n",
+ " 3066 | \n",
+ "
\n",
+ " \n",
+ " der | \n",
+ " 2362 | \n",
+ "
\n",
+ " \n",
+ " das | \n",
+ " 1794 | \n",
+ "
\n",
+ " \n",
+ " ist | \n",
+ " 1767 | \n",
+ "
\n",
+ " \n",
+ " nicht | \n",
+ " 1467 | \n",
+ "
\n",
+ " \n",
+ " ... | \n",
+ " ... | \n",
+ "
\n",
+ " \n",
+ " wertvollsten, | \n",
+ " 1 | \n",
+ "
\n",
+ " \n",
+ " blutgruppe | \n",
+ " 1 | \n",
+ "
\n",
+ " \n",
+ " gelenkschmerzen | \n",
+ " 1 | \n",
+ "
\n",
+ " \n",
+ " entgeltbefreiung | \n",
+ " 1 | \n",
+ "
\n",
+ " \n",
+ " anrã¼cken. | \n",
+ " 1 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
27102 rows × 1 columns
\n",
+ "
"
+ ],
+ "text/plain": [
+ " 0\n",
+ "die 3066\n",
+ "der 2362\n",
+ "das 1794\n",
+ "ist 1767\n",
+ "nicht 1467\n",
+ "... ...\n",
+ "wertvollsten, 1\n",
+ "blutgruppe 1\n",
+ "gelenkschmerzen 1\n",
+ "entgeltbefreiung 1\n",
+ "anrã¼cken. 1\n",
+ "\n",
+ "[27102 rows x 1 columns]"
+ ]
+ },
+ "execution_count": 32,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "w_count_df"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 37,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "18"
+ ]
+ },
+ "execution_count": 37,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# check a certain word\n",
+ "w_count_df.at['auto', 0]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 24,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 24,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/home/erogol/miniconda3/lib/python3.7/site-packages/matplotlib-3.2.0rc3-py3.7-linux-x86_64.egg/matplotlib/backends/backend_agg.py:214: RuntimeWarning: Glyph 159 missing from current font.\n",
+ " font.set_text(s, 0.0, flags=flags)\n",
+ "/home/erogol/miniconda3/lib/python3.7/site-packages/matplotlib-3.2.0rc3-py3.7-linux-x86_64.egg/matplotlib/backends/backend_agg.py:214: RuntimeWarning: Glyph 156 missing from current font.\n",
+ " font.set_text(s, 0.0, flags=flags)\n",
+ "/home/erogol/miniconda3/lib/python3.7/site-packages/matplotlib-3.2.0rc3-py3.7-linux-x86_64.egg/matplotlib/backends/backend_agg.py:183: RuntimeWarning: Glyph 159 missing from current font.\n",
+ " font.set_text(s, 0, flags=flags)\n",
+ "/home/erogol/miniconda3/lib/python3.7/site-packages/matplotlib-3.2.0rc3-py3.7-linux-x86_64.egg/matplotlib/backends/backend_agg.py:183: RuntimeWarning: Glyph 156 missing from current font.\n",
+ " font.set_text(s, 0, flags=flags)\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# fequency bar plot - it takes time!!\n",
+ "w_count_df.plot.bar()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.7.4"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/dataset_analysis/AnalyzeDataset.ipynb b/notebooks/dataset_analysis/AnalyzeDataset.ipynb
similarity index 99%
rename from dataset_analysis/AnalyzeDataset.ipynb
rename to notebooks/dataset_analysis/AnalyzeDataset.ipynb
index 3ed54ded..e7848fab 100644
--- a/dataset_analysis/AnalyzeDataset.ipynb
+++ b/notebooks/dataset_analysis/AnalyzeDataset.ipynb
@@ -27,7 +27,7 @@
"from multiprocessing import Pool\n",
"from matplotlib import pylab as plt\n",
"from collections import Counter\n",
- "from TTS.datasets.preprocess import *\n",
+ "from mozilla_voice_tts.tts.datasets.preprocess import *\n",
"%matplotlib inline"
]
},
diff --git a/dataset_analysis/CheckDatasetSNR.ipynb b/notebooks/dataset_analysis/CheckDatasetSNR.ipynb
similarity index 100%
rename from dataset_analysis/CheckDatasetSNR.ipynb
rename to notebooks/dataset_analysis/CheckDatasetSNR.ipynb
diff --git a/notebooks/dataset_analysis/PhonemeCoverage.ipynb b/notebooks/dataset_analysis/PhonemeCoverage.ipynb
new file mode 100644
index 00000000..af00deaf
--- /dev/null
+++ b/notebooks/dataset_analysis/PhonemeCoverage.ipynb
@@ -0,0 +1,251 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "source": [
+ "# Jupyter Notbook for phoneme coverage analysis\n",
+ "\n",
+ "This jupyter notebook checks dataset configured in config.json for phoneme coverage.\n",
+ "As mentioned here https://github.com/mozilla/TTS/wiki/Dataset#what-makes-a-good-dataset a good phoneme coverage is recommended.\n",
+ "\n",
+ "Most parameters will be taken from config.json file in mozilla tts repo so please ensure it's configured correctly for your dataset.\n",
+ "This notebook used lots of existring code from the TTS repo to ensure future compatibility.\n",
+ "\n",
+ "Many thanks to Neil Stoker supporting me on this topic :-).\n",
+ "\n",
+ "I provide this notebook without any warrenty but it's hopefully useful for your dataset analysis.\n",
+ "\n",
+ "Happy TTS'ing :-)\n",
+ "\n",
+ "Thorsten Müller\n",
+ "\n",
+ "* https://github.com/thorstenMueller/deep-learning-german-tts\n",
+ "* https://discourse.mozilla.org/t/contributing-my-german-voice-for-tts/"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [],
+ "source": [
+ "# set some vars\n",
+ "# TTS_PATH = \"/home/thorsten/___dev/tts/mozilla/TTS\"\n",
+ "CONFIG_FILE = \"/path/to/config/config.json\"\n",
+ "CHARS_TO_REMOVE = \".,:!?'\""
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [],
+ "source": [
+ "# import stuff\n",
+ "from TTS.utils.io import load_config\n",
+ "from TTS.tts.datasets.preprocess import load_meta_data\n",
+ "from TTS.tts.utils.text import phoneme_to_sequence, sequence_to_phoneme\n",
+ "from tqdm import tqdm\n",
+ "from matplotlib import pylab as plt\n",
+ "from multiprocessing import Pool, cpu_count\n",
+ "\n",
+ "# extra imports that might not be included in requirements.txt\n",
+ "import collections\n",
+ "import operator\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "Collapsed": "false",
+ "tags": []
+ },
+ "outputs": [],
+ "source": [
+ "# Load config.json properties\n",
+ "CONFIG = load_config(CONFIG_FILE)\n",
+ "\n",
+ "# Load some properties from config.json\n",
+ "CONFIG_METADATA = sorted(load_meta_data(CONFIG.datasets)[0])\n",
+ "CONFIG_METADATA = CONFIG_METADATA\n",
+ "CONFIG_DATASET = CONFIG.datasets[0]\n",
+ "CONFIG_PHONEME_LANGUAGE = CONFIG.phoneme_language\n",
+ "CONFIG_TEXT_CLEANER = CONFIG.text_cleaner\n",
+ "CONFIG_ENABLE_EOS_BOS_CHARS = CONFIG.enable_eos_bos_chars\n",
+ "\n",
+ "# Will be printed on generated output graph\n",
+ "CONFIG_RUN_NAME = CONFIG.run_name\n",
+ "CONFIG_RUN_DESC = CONFIG.run_description"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "Collapsed": "false",
+ "tags": []
+ },
+ "outputs": [],
+ "source": [
+ "# print some debug information on loaded config values\n",
+ "print(\" > Run name: \" + CONFIG_RUN_NAME + \" (\" + CONFIG_RUN_DESC + \")\")\n",
+ "print(\" > Dataset files: \" + str(len(CONFIG_METADATA)))\n",
+ "print(\" > Phoneme language: \" + CONFIG_PHONEME_LANGUAGE)\n",
+ "print(\" > Used text cleaner: \" + CONFIG_TEXT_CLEANER)\n",
+ "print(\" > Enable eos bos chars: \" + str(CONFIG_ENABLE_EOS_BOS_CHARS))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def get_phoneme_from_sequence(text):\n",
+ " temp_list = []\n",
+ " if len(text[0]) > 0:\n",
+ " temp_text = text[0].rstrip('\\n')\n",
+ " for rm_bad_chars in CHARS_TO_REMOVE:\n",
+ " temp_text = temp_text.replace(rm_bad_chars,\"\")\n",
+ " seq = phoneme_to_sequence(temp_text, [CONFIG_TEXT_CLEANER], CONFIG_PHONEME_LANGUAGE, CONFIG_ENABLE_EOS_BOS_CHARS)\n",
+ " text = sequence_to_phoneme(seq)\n",
+ " text = text.replace(\" \",\"\")\n",
+ " temp_list.append(text)\n",
+ " return temp_list"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "Collapsed": "false",
+ "tags": []
+ },
+ "outputs": [],
+ "source": [
+ "# Get phonemes from metadata\n",
+ "phonemes = []\n",
+ "\n",
+ "with Pool(cpu_count()-1) as p:\n",
+ " \n",
+ " phonemes = list(tqdm(p.imap(get_phoneme_from_sequence, CONFIG_METADATA), total=len(CONFIG_METADATA)))\n",
+ " phonemes = [i for sub in phonemes for i in sub]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "Collapsed": "false",
+ "tags": []
+ },
+ "outputs": [],
+ "source": [
+ "s = \"\"\n",
+ "phonemeString = s.join(phonemes)\n",
+ "\n",
+ "d = {}\n",
+ "collections._count_elements(d, phonemeString)\n",
+ "sorted_d = dict(sorted(d.items(), key=operator.itemgetter(1),reverse=True))\n",
+ "\n",
+ "# remove useless keys\n",
+ "sorted_d.pop(' ', None)\n",
+ "sorted_d.pop('ˈ', None)\n",
+ "\n",
+ "phonemesSum = len(phonemeString.replace(\" \",\"\"))\n",
+ "\n",
+ "print(\"Dataset contains \" + str(len(sorted_d)) + \" different ipa phonemes.\")\n",
+ "print(\"Dataset consists of \" + str(phonemesSum) + \" phonemes\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "Collapsed": "false",
+ "tags": []
+ },
+ "outputs": [],
+ "source": [
+ "print(\"5 rarest phonemes\")\n",
+ "\n",
+ "rareList = dict(sorted(sorted_d.items(), key=operator.itemgetter(1), reverse=False)[:5])\n",
+ "for key, value in rareList.items():\n",
+ " print(key + \" --> \" + str(value) + \" occurrences\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [],
+ "source": [
+ "# create plot from analysis result\n",
+ "\n",
+ "x = []\n",
+ "y = []\n",
+ "\n",
+ "for key, value in sorted_d.items():\n",
+ " x.append(key)\n",
+ " y.append(value)\n",
+ "\n",
+ "plt.figure(figsize=(50,50))\n",
+ "plt.title(\"Phoneme coverage for \" + CONFIG_RUN_NAME + \" (\" + CONFIG_RUN_DESC + \")\", fontsize=50)\n",
+ "plt.xticks(fontsize=50)\n",
+ "plt.yticks(fontsize=50)\n",
+ "plt.barh(x,y, align='center', alpha=1.0)\n",
+ "plt.gca().invert_yaxis()\n",
+ "plt.ylabel('phoneme', fontsize=50)\n",
+ "plt.xlabel('occurrences', fontsize=50)\n",
+ "\n",
+ "for i, v in enumerate(y):\n",
+ " plt.text(v + 2, i - .2, str(v), fontsize=20)\n",
+ " plt.text(v + 2, i + .2, \"(\" + str(round(100/phonemesSum * v,2)) + \"%)\", fontsize=20)\n",
+ " \n",
+ " \n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "Collapsed": "false"
+ },
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.6.9-final"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
\ No newline at end of file
diff --git a/dataset_analysis/README.md b/notebooks/dataset_analysis/README.md
similarity index 100%
rename from dataset_analysis/README.md
rename to notebooks/dataset_analysis/README.md
diff --git a/dataset_analysis/analyze.py b/notebooks/dataset_analysis/analyze.py
similarity index 95%
rename from dataset_analysis/analyze.py
rename to notebooks/dataset_analysis/analyze.py
index f34605dd..161e2ae3 100644
--- a/dataset_analysis/analyze.py
+++ b/notebooks/dataset_analysis/analyze.py
@@ -71,7 +71,7 @@ def process_meta_data(path):
def get_data_points(meta_data):
- x = [char_cnt for char_cnt in meta_data]
+ x = meta_data
y_avg = [meta_data[d]['mean'] for d in meta_data]
y_mode = [meta_data[d]['mode'] for d in meta_data]
y_median = [meta_data[d]['median'] for d in meta_data]
diff --git a/requirements.txt b/requirements.txt
index ec7a1092..4b88877b 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,5 +1,5 @@
torch>=1.5
-tensorflow>=2.2
+tensorflow==2.3.0
numpy>=1.16.0
scipy>=0.19.0
numba==0.48
@@ -13,7 +13,6 @@ Pillow
flask
tqdm
inflect
-pysbd
bokeh==1.4.0
pysbd
soundfile
diff --git a/requirements_tests.txt b/requirements_tests.txt
index ca13b2c4..f37cda19 100644
--- a/requirements_tests.txt
+++ b/requirements_tests.txt
@@ -1,5 +1,5 @@
torch>=1.5
-tensorflow==2.3rc
+tensorflow==2.3.0
numpy>=1.16.0
scipy>=0.19.0
numba==0.48
diff --git a/run_tests.sh b/run_tests.sh
new file mode 100755
index 00000000..27f54b24
--- /dev/null
+++ b/run_tests.sh
@@ -0,0 +1,12 @@
+TF_CPP_MIN_LOG_LEVEL=3
+
+# tests
+nosetests tests -x &&\
+
+# runtime tests
+./tests/test_server_package.sh && \
+./tests/test_tts_train.sh && \
+./tests/test_vocoder_train.sh && \
+
+# linter check
+cardboardlinter --refspec master
\ No newline at end of file
diff --git a/setup.py b/setup.py
index 3f02dd09..c40f77e6 100644
--- a/setup.py
+++ b/setup.py
@@ -19,12 +19,12 @@ args, unknown_args = parser.parse_known_args()
# Remove our arguments from argv so that setuptools doesn't see them
sys.argv = [sys.argv[0]] + unknown_args
-version = '0.0.3'
+version = '0.0.4'
# Adapted from https://github.com/pytorch/pytorch
cwd = os.path.dirname(os.path.abspath(__file__))
-if os.getenv('TTS_PYTORCH_BUILD_VERSION'):
- version = os.getenv('TTS_PYTORCH_BUILD_VERSION')
+if os.getenv('MOZILLA_VOICE_TTS_PYTORCH_BUILD_VERSION'):
+ version = os.getenv('MOZILLA_VOICE_TTS_PYTORCH_BUILD_VERSION')
else:
try:
sha = subprocess.check_output(
@@ -36,7 +36,7 @@ else:
pass
-class build_py(setuptools.command.build_py.build_py):
+class build_py(setuptools.command.build_py.build_py): # pylint: disable=too-many-ancestors
def run(self):
self.create_version_file()
setuptools.command.build_py.build_py.run(self)
@@ -56,11 +56,11 @@ class develop(setuptools.command.develop.develop):
# The documentation for this feature is in server/README.md
-package_data = ['server/templates/*']
+package_data = ['mozilla_voice_tts/server/templates/*']
if 'bdist_wheel' in unknown_args and args.checkpoint and args.model_config:
print('Embedding model in wheel file...')
- model_dir = os.path.join('server', 'model')
+ model_dir = os.path.join('mozilla_voice_tts', 'server', 'model')
tts_dir = os.path.join(model_dir, 'tts')
os.makedirs(tts_dir, exist_ok=True)
embedded_checkpoint_path = os.path.join(tts_dir, 'checkpoint.pth.tar')
@@ -76,54 +76,30 @@ def pip_install(package_name):
)
+reqs_from_file = open('requirements.txt').readlines()
+reqs_without_tf = [r for r in reqs_from_file if not r.startswith('tensorflow')]
+tf_req = [r for r in reqs_from_file if r.startswith('tensorflow')]
+
requirements = {
- 'install_requires':[
- "torch>=1.5",
- "numpy>=1.16.0",
- "numba==0.48",
- "scipy>=0.19.0",
- "librosa==0.7.2",
- "unidecode==0.4.20",
- "attrdict",
- "tensorboardX",
- "matplotlib",
- "Pillow",
- "flask",
- "tqdm",
- "inflect",
- "pysbd",
- "bokeh==1.4.0",
- "pysbd",
- "soundfile",
- "phonemizer>=2.2.0",
- "nose==1.3.7",
- "cardboardlint==1.3.0",
- "pylint==2.5.3",
- 'fuzzywuzzy',
- 'gdown'
- ],
- 'pip_install':[
- 'tensorflow>=2.2.0',
- ]
+ 'install_requires': reqs_without_tf,
+ 'pip_install': tf_req
}
setup(
- name='TTS',
+ name='mozilla_voice_tts',
version=version,
url='https://github.com/mozilla/TTS',
+ author='Eren Gölge',
+ author_email='egolge@mozilla.com',
description='Text to Speech with Deep Learning',
license='MPL-2.0',
entry_points={
'console_scripts': [
- 'tts-server = TTS.server.server:main'
+ 'tts-server = mozilla_voice_tts.server.server:main'
]
},
- package_dir={'': 'tts_namespace'},
- packages=find_packages('tts_namespace'),
- package_data={
- 'TTS': package_data,
- },
+ packages=find_packages(include=['TTS*']),
project_urls={
'Documentation': 'https://github.com/mozilla/TTS/wiki',
'Tracker': 'https://github.com/mozilla/TTS/issues',
@@ -152,5 +128,6 @@ setup(
# for some reason having tensorflow in 'install_requires'
# breaks some of the dependencies.
-for module in requirements['pip_install']:
- pip_install(module)
+if 'bdist_wheel' not in unknown_args:
+ for module in requirements['pip_install']:
+ pip_install(module)
diff --git a/speaker_encoder/config.json b/speaker_encoder/config.json
deleted file mode 100644
index 0d0f8f68..00000000
--- a/speaker_encoder/config.json
+++ /dev/null
@@ -1,59 +0,0 @@
-{
- "run_name": "libritts_360-half",
- "run_description": "train speaker encoder for libritts 360",
- "audio": {
- // Audio processing parameters
- "num_mels": 40, // size of the mel spec frame.
- "num_freq": 1025, // number of stft frequency levels. Size of the linear spectogram frame.
- "sample_rate": 16000, // DATASET-RELATED: wav sample-rate. If different than the original data, it is resampled.
- "frame_length_ms": 50, // stft window length in ms.
- "frame_shift_ms": 12.5, // stft window hop-lengh in ms.
- "preemphasis": 0.98, // pre-emphasis to reduce spec noise and make it more structured. If 0.0, no -pre-emphasis.
- "min_level_db": -100, // normalization range
- "ref_level_db": 20, // reference level db, theoretically 20db is the sound of air.
- // Normalization parameters
- "signal_norm": true, // normalize the spec values in range [0, 1]
- "symmetric_norm": true, // move normalization to range [-1, 1]
- "max_norm": 4, // scale normalization to range [-max_norm, max_norm] or [0, max_norm]
- "clip_norm": true, // clip normalized values into the range.
- "mel_fmin": 0.0, // minimum freq level for mel-spec. ~50 for male and ~95 for female voices. Tune for dataset!!
- "mel_fmax": 8000.0, // maximum freq level for mel-spec. Tune for dataset!!
- "do_trim_silence": false // enable trimming of slience of audio as you load it. LJspeech (false), TWEB (false), Nancy (true)
- },
- "reinit_layers": [],
- "grad_clip": 3.0, // upper limit for gradients for clipping.
- "epochs": 1000, // total number of epochs to train.
- "lr": 0.0001, // Initial learning rate. If Noam decay is active, maximum learning rate.
- "lr_decay": false, // if true, Noam learning rate decaying is applied through training.
- "warmup_steps": 4000, // Noam decay steps to increase the learning rate from 0 to "lr"
- "tb_model_param_stats": false, // true, plots param stats per layer on tensorboard. Might be memory consuming, but good for debugging.
- "steps_plot_stats": 10, // number of steps to plot embeddings.
- "num_speakers_in_batch": 32, // Batch size for training. Lower values than 32 might cause hard to learn attention. It is overwritten by 'gradual_training'.
- "wd": 0.000001, // Weight decay weight.
- "checkpoint": true, // If true, it saves checkpoints per "save_step"
- "save_step": 1000, // Number of training steps expected to save traning stats and checkpoints.
- "print_step": 1, // Number of steps to log traning on console.
- "output_path": "/media/erogol/data_ssd/Models/libri_tts/speaker_encoder/", // DATASET-RELATED: output path for all training outputs.
- "num_loader_workers": 0, // number of training data loader processes. Don't set it too big. 4-8 are good values.
- "model": {
- "input_dim": 40,
- "proj_dim": 128,
- "lstm_dim": 384,
- "num_lstm_layers": 3
- },
- "datasets":
- [
- {
- "name": "libri_tts",
- "path": "/home/erogol/Data/Libri-TTS/train-clean-360/",
- "meta_file_train": null,
- "meta_file_val": null
- },
- {
- "name": "libri_tts",
- "path": "/home/erogol/Data/Libri-TTS/train-clean-100/",
- "meta_file_train": null,
- "meta_file_val": null
- }
- ]
-}
\ No newline at end of file
diff --git a/speaker_encoder/notebooks/PlotUmapLibriTTS.ipynb b/speaker_encoder/notebooks/PlotUmapLibriTTS.ipynb
deleted file mode 100644
index 159f040c..00000000
--- a/speaker_encoder/notebooks/PlotUmapLibriTTS.ipynb
+++ /dev/null
@@ -1,325 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### Overview\n",
- "\n",
- "This notebook can be used with both a single or multi- speaker corpus and allows the interactive plotting of speaker embeddings linked to underlying audio (see instructions in the repo's speaker_embedding directory)\n",
- "\n",
- "Depending on the directory structure used for your corpus, you may need to adjust handling of **speaker_to_utter** and **locations**."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "import os\n",
- "import glob\n",
- "import random\n",
- "import numpy as np\n",
- "import torch\n",
- "import umap\n",
- "\n",
- "from TTS.speaker_encoder.model import SpeakerEncoder\n",
- "from TTS.utils.audio import AudioProcessor\n",
- "from TTS.utils.generic_utils import load_config\n",
- "\n",
- "from bokeh.io import output_notebook, show\n",
- "from bokeh.plotting import figure\n",
- "from bokeh.models import HoverTool, ColumnDataSource, BoxZoomTool, ResetTool, OpenURL, TapTool\n",
- "from bokeh.transform import factor_cmap, factor_mark\n",
- "from bokeh.palettes import Category10"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "For larger sets of speakers, you can use **Category20**, but you need to change it in the **pal** variable too\n",
- "\n",
- "List of Bokeh palettes here: http://docs.bokeh.org/en/1.4.0/docs/reference/palettes.html\n",
- "\n",
- "**NB:** if you have problems with other palettes, first see https://stackoverflow.com/questions/48333820/why-do-some-bokeh-palettes-raise-a-valueerror-when-used-in-factor-cmap"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "output_notebook()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "You should also adjust all the path constants to point at the relevant locations for you locally"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "MODEL_RUN_PATH = \"/media/erogol/data_ssd/Models/libri_tts/speaker_encoder/libritts_360-half-October-31-2019_04+54PM-19d2f5f/\"\n",
- "MODEL_PATH = MODEL_RUN_PATH + \"best_model.pth.tar\"\n",
- "CONFIG_PATH = MODEL_RUN_PATH + \"config.json\"\n",
- "\n",
- "# My single speaker locations\n",
- "#EMBED_PATH = \"/home/neil/main/Projects/TTS3/embeddings/neil14/\"\n",
- "#AUDIO_PATH = \"/home/neil/data/Projects/NeilTTS/neil14/wavs/\"\n",
- "\n",
- "# My multi speaker locations\n",
- "EMBED_PATH = \"/home/erogol/Data/Libri-TTS/train-clean-360-embed_128/\"\n",
- "AUDIO_PATH = \"/home/erogol/Data/Libri-TTS/train-clean-360/\""
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "!ls -1 $MODEL_RUN_PATH"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "CONFIG = load_config(CONFIG_PATH)\n",
- "ap = AudioProcessor(**CONFIG['audio'])"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Bring in the embeddings created by **compute_embeddings.py**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "embed_files = glob.glob(EMBED_PATH+\"/**/*.npy\", recursive=True)\n",
- "print(f'Embeddings found: {len(embed_files)}')"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Check that we did indeed find an embedding"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "embed_files[0]"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### Process the speakers\n",
- "\n",
- "Assumes count of **speaker_paths** corresponds to number of speakers (so a corpus in just one directory would be treated like a single speaker and the multiple directories of LibriTTS are treated as distinct speakers)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "speaker_paths = list(set([os.path.dirname(os.path.dirname(embed_file)) for embed_file in embed_files]))\n",
- "speaker_to_utter = {}\n",
- "for embed_file in embed_files:\n",
- " speaker_path = os.path.dirname(os.path.dirname(embed_file))\n",
- " try:\n",
- " speaker_to_utter[speaker_path].append(embed_file)\n",
- " except:\n",
- " speaker_to_utter[speaker_path]=[embed_file]\n",
- "print(f'Speaker count: {len(speaker_paths)}')"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### Set up the embeddings\n",
- "\n",
- "Adjust the number of speakers to select and the number of utterances from each speaker and they will be randomly sampled from the corpus"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "embeds = []\n",
- "labels = []\n",
- "locations = []\n",
- "\n",
- "# single speaker \n",
- "#num_speakers = 1\n",
- "#num_utters = 1000\n",
- "\n",
- "# multi speaker\n",
- "num_speakers = 10\n",
- "num_utters = 20\n",
- "\n",
- "\n",
- "speaker_idxs = np.random.choice(range(len(speaker_paths)), num_speakers, replace=False )\n",
- "\n",
- "for speaker_num, speaker_idx in enumerate(speaker_idxs):\n",
- " speaker_path = speaker_paths[speaker_idx]\n",
- " speakers_utter = speaker_to_utter[speaker_path]\n",
- " utter_idxs = np.random.randint(0, len(speakers_utter) , num_utters)\n",
- " for utter_idx in utter_idxs:\n",
- " embed_path = speaker_to_utter[speaker_path][utter_idx]\n",
- " embed = np.load(embed_path)\n",
- " embeds.append(embed)\n",
- " labels.append(str(speaker_num))\n",
- " locations.append(embed_path.replace(EMBED_PATH, '').replace('.npy','.wav'))\n",
- "embeds = np.concatenate(embeds)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Load embeddings with UMAP"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "model = umap.UMAP()\n",
- "projection = model.fit_transform(embeds)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### Interactively charting the data in Bokeh\n",
- "\n",
- "Set up various details for Bokeh to plot the data\n",
- "\n",
- "You can use the regular Bokeh [tools](http://docs.bokeh.org/en/1.4.0/docs/user_guide/tools.html?highlight=tools) to explore the data, with reset setting it back to normal\n",
- "\n",
- "Once you have started the local server (see cell below) you can then click on plotted points which will open a tab to play the audio for that point, enabling easy exploration of your corpus\n",
- "\n",
- "File location in the tooltip is given relative to **AUDIO_PATH**"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "source_wav_stems = ColumnDataSource(\n",
- " data=dict(\n",
- " x = projection.T[0].tolist(),\n",
- " y = projection.T[1].tolist(),\n",
- " desc=locations,\n",
- " label=labels\n",
- " )\n",
- " )\n",
- "\n",
- "hover = HoverTool(\n",
- " tooltips=[\n",
- " (\"file\", \"@desc\"),\n",
- " (\"speaker\", \"@label\"),\n",
- " ]\n",
- " )\n",
- "\n",
- "# optionally consider adding these to the tooltips if you want additional detail\n",
- "# for the coordinates: (\"(x,y)\", \"($x, $y)\"),\n",
- "# for the index of the embedding / wav file: (\"index\", \"$index\"),\n",
- "\n",
- "factors = list(set(labels))\n",
- "pal_size = max(len(factors), 3)\n",
- "pal = Category10[pal_size]\n",
- "\n",
- "p = figure(plot_width=600, plot_height=400, tools=[hover,BoxZoomTool(), ResetTool(), TapTool()])\n",
- "\n",
- "\n",
- "p.circle('x', 'y', source=source_wav_stems, color=factor_cmap('label', palette=pal, factors=factors),)\n",
- "\n",
- "url = \"http://localhost:8000/@desc\"\n",
- "taptool = p.select(type=TapTool)\n",
- "taptool.callback = OpenURL(url=url)\n",
- "\n",
- "show(p)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### Local server to serve wav files from corpus\n",
- "\n",
- "This is required so that when you click on a data point the hyperlink associated with it will be served the file locally.\n",
- "\n",
- "There are other ways to serve this if you prefer and you can also run the commands manually on the command line\n",
- "\n",
- "The server will continue to run until stopped. To stop it simply interupt the kernel (ie square button or under Kernel menu)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "%cd $AUDIO_PATH\n",
- "%pwd\n",
- "!python -m http.server"
- ]
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.7.4"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/synthesize.py b/synthesize.py
deleted file mode 100644
index bd720123..00000000
--- a/synthesize.py
+++ /dev/null
@@ -1,182 +0,0 @@
-# pylint: disable=redefined-outer-name, unused-argument
-import os
-import time
-import argparse
-import torch
-import json
-import string
-
-from TTS.utils.synthesis import synthesis
-from TTS.utils.generic_utils import setup_model
-from TTS.utils.io import load_config
-from TTS.utils.text.symbols import make_symbols, symbols, phonemes
-from TTS.utils.audio import AudioProcessor
-
-
-def tts(model,
- vocoder_model,
- C,
- VC,
- text,
- ap,
- ap_vocoder,
- use_cuda,
- batched_vocoder,
- speaker_id=None,
- figures=False):
- t_1 = time.time()
- use_vocoder_model = vocoder_model is not None
- waveform, alignment, _, postnet_output, stop_tokens, _ = synthesis(
- model, text, C, use_cuda, ap, speaker_id, style_wav=C.gst['gst_style_input'],
- truncated=False, enable_eos_bos_chars=C.enable_eos_bos_chars,
- use_griffin_lim=(not use_vocoder_model), do_trim_silence=True)
-
- if C.model == "Tacotron" and use_vocoder_model:
- postnet_output = ap.out_linear_to_mel(postnet_output.T).T
- # correct if there is a scale difference b/w two models
- if use_vocoder_model:
- postnet_output = ap._denormalize(postnet_output)
- postnet_output = ap_vocoder._normalize(postnet_output)
- vocoder_input = torch.FloatTensor(postnet_output.T).unsqueeze(0)
- waveform = vocoder_model.generate(
- vocoder_input.cuda() if use_cuda else vocoder_input,
- batched=batched_vocoder,
- target=8000,
- overlap=400)
- print(" > Run-time: {}".format(time.time() - t_1))
- return alignment, postnet_output, stop_tokens, waveform
-
-
-if __name__ == "__main__":
-
- global symbols, phonemes
-
- parser = argparse.ArgumentParser()
- parser.add_argument('text', type=str, help='Text to generate speech.')
- parser.add_argument('config_path',
- type=str,
- help='Path to model config file.')
- parser.add_argument(
- 'model_path',
- type=str,
- help='Path to model file.',
- )
- parser.add_argument(
- 'out_path',
- type=str,
- help='Path to save final wav file. Wav file will be names as the text given.',
- )
- parser.add_argument('--use_cuda',
- type=bool,
- help='Run model on CUDA.',
- default=False)
- parser.add_argument(
- '--vocoder_path',
- type=str,
- help=
- 'Path to vocoder model file. If it is not defined, model uses GL as vocoder. Please make sure that you installed vocoder library before (WaveRNN).',
- default="",
- )
- parser.add_argument('--vocoder_config_path',
- type=str,
- help='Path to vocoder model config file.',
- default="")
- parser.add_argument(
- '--batched_vocoder',
- type=bool,
- help="If True, vocoder model uses faster batch processing.",
- default=True)
- parser.add_argument('--speakers_json',
- type=str,
- help="JSON file for multi-speaker model.",
- default="")
- parser.add_argument(
- '--speaker_id',
- type=int,
- help="target speaker_id if the model is multi-speaker.",
- default=None)
- args = parser.parse_args()
-
- if args.vocoder_path != "":
- assert args.use_cuda, " [!] Enable cuda for vocoder."
- from WaveRNN.models.wavernn import Model as VocoderModel
-
- # load the config
- C = load_config(args.config_path)
- C.forward_attn_mask = True
-
- # load the audio processor
- ap = AudioProcessor(**C.audio)
-
- # if the vocabulary was passed, replace the default
- if 'characters' in C.keys():
- symbols, phonemes = make_symbols(**C.characters)
-
- # load speakers
- if args.speakers_json != '':
- speakers = json.load(open(args.speakers_json, 'r'))
- num_speakers = len(speakers)
- else:
- num_speakers = 0
-
- # load the model
- num_chars = len(phonemes) if C.use_phonemes else len(symbols)
- model = setup_model(num_chars, num_speakers, C)
- cp = torch.load(args.model_path)
- model.load_state_dict(cp['model'])
- model.eval()
- if args.use_cuda:
- model.cuda()
- model.decoder.set_r(cp['r'])
-
- # load vocoder model
- if args.vocoder_path != "":
- VC = load_config(args.vocoder_config_path)
- ap_vocoder = AudioProcessor(**VC.audio)
- bits = 10
- vocoder_model = VocoderModel(rnn_dims=512,
- fc_dims=512,
- mode=VC.mode,
- mulaw=VC.mulaw,
- pad=VC.pad,
- upsample_factors=VC.upsample_factors,
- feat_dims=VC.audio["num_mels"],
- compute_dims=128,
- res_out_dims=128,
- res_blocks=10,
- hop_length=ap.hop_length,
- sample_rate=ap.sample_rate,
- use_aux_net=True,
- use_upsample_net=True)
-
- check = torch.load(args.vocoder_path)
- vocoder_model.load_state_dict(check['model'])
- vocoder_model.eval()
- if args.use_cuda:
- vocoder_model.cuda()
- else:
- vocoder_model = None
- VC = None
- ap_vocoder = None
-
- # synthesize voice
- print(" > Text: {}".format(args.text))
- _, _, _, wav = tts(model,
- vocoder_model,
- C,
- VC,
- args.text,
- ap,
- ap_vocoder,
- args.use_cuda,
- args.batched_vocoder,
- speaker_id=args.speaker_id,
- figures=False)
-
- # save the results
- file_name = args.text.replace(" ", "_")
- file_name = file_name.translate(
- str.maketrans('', '', string.punctuation.replace('_', ''))) + '.wav'
- out_path = os.path.join(args.out_path, file_name)
- print(" > Saving output to {}".format(out_path))
- ap.save_wav(wav, out_path)
diff --git a/tests/generic_utils_text.py b/tests/generic_utils_text.py
deleted file mode 100644
index 228df2df..00000000
--- a/tests/generic_utils_text.py
+++ /dev/null
@@ -1,35 +0,0 @@
-import unittest
-import torch as T
-
-from TTS.utils.generic_utils import save_checkpoint, save_best_model
-from TTS.layers.tacotron import Prenet
-
-OUT_PATH = '/tmp/test.pth.tar'
-
-
-class ModelSavingTests(unittest.TestCase):
- def save_checkpoint_test(self):
- # create a dummy model
- model = Prenet(128, out_features=[256, 128])
- model = T.nn.DataParallel(layer) #FIXME: undefined variable layer
-
- # save the model
- save_checkpoint(model, None, 100, OUT_PATH, 1, 1)
-
- # load the model to CPU
- model_dict = T.load(
- MODEL_PATH, map_location=lambda storage, loc: storage) #FIXME: undefined variable MODEL_PATH
- model.load_state_dict(model_dict['model'])
-
- def save_best_model_test(self):
- # create a dummy model
- model = Prenet(256, out_features=[256, 256])
- model = T.nn.DataParallel(layer)
-
- # save the model
- save_best_model(model, None, 0, 100, OUT_PATH, 10, 1)
-
- # load the model to CPU
- model_dict = T.load(
- MODEL_PATH, map_location=lambda storage, loc: storage)
- model.load_state_dict(model_dict['model'])
diff --git a/tests/test_config.json b/tests/inputs/test_config.json
similarity index 75%
rename from tests/test_config.json
rename to tests/inputs/test_config.json
index 31c2cd87..b2bba154 100644
--- a/tests/test_config.json
+++ b/tests/inputs/test_config.json
@@ -51,5 +51,18 @@
"output_path": "result",
"min_seq_len": 0,
"max_seq_len": 300,
- "log_dir": "tests/outputs/"
- }
+ "log_dir": "tests/outputs/",
+
+ // MULTI-SPEAKER and GST
+ "use_speaker_embedding": false, // use speaker embedding to enable multi-speaker learning.
+ "use_gst": true, // use global style tokens
+ "gst": { // gst parameter if gst is enabled
+ "gst_style_input": null, // Condition the style input either on a
+ // -> wave file [path to wave] or
+ // -> dictionary using the style tokens {'token1': 'value', 'token2': 'value'} example {"0": 0.15, "1": 0.15, "5": -0.15}
+ // with the dictionary being len(dict) <= len(gst_style_tokens).
+ "gst_embedding_dim": 512,
+ "gst_num_heads": 4,
+ "gst_style_tokens": 10
+ }
+}
diff --git a/tests/inputs/test_train_config.json b/tests/inputs/test_train_config.json
new file mode 100644
index 00000000..bea4cbb7
--- /dev/null
+++ b/tests/inputs/test_train_config.json
@@ -0,0 +1,311 @@
+<<<<<<< HEAD:tests/inputs/test_train_config.json
+{
+ "model": "Tacotron2",
+ "run_name": "test_sample_dataset_run",
+ "run_description": "sample dataset test run",
+
+ // AUDIO PARAMETERS
+ "audio":{
+ // stft parameters
+ "fft_size": 1024, // number of stft frequency levels. Size of the linear spectogram frame.
+ "win_length": 1024, // stft window length in ms.
+ "hop_length": 256, // stft window hop-lengh in ms.
+ "frame_length_ms": null, // stft window length in ms.If null, 'win_length' is used.
+ "frame_shift_ms": null, // stft window hop-lengh in ms. If null, 'hop_length' is used.
+
+ // Audio processing parameters
+ "sample_rate": 22050, // DATASET-RELATED: wav sample-rate.
+ "preemphasis": 0.0, // pre-emphasis to reduce spec noise and make it more structured. If 0.0, no -pre-emphasis.
+ "ref_level_db": 20, // reference level db, theoretically 20db is the sound of air.
+
+ // Silence trimming
+ "do_trim_silence": true,// enable trimming of slience of audio as you load it. LJspeech (true), TWEB (false), Nancy (true)
+ "trim_db": 60, // threshold for timming silence. Set this according to your dataset.
+
+ // Griffin-Lim
+ "power": 1.5, // value to sharpen wav signals after GL algorithm.
+ "griffin_lim_iters": 60,// #griffin-lim iterations. 30-60 is a good range. Larger the value, slower the generation.
+
+ // MelSpectrogram parameters
+ "num_mels": 80, // size of the mel spec frame.
+ "mel_fmin": 0.0, // minimum freq level for mel-spec. ~50 for male and ~95 for female voices. Tune for dataset!!
+ "mel_fmax": 8000.0, // maximum freq level for mel-spec. Tune for dataset!!
+ "spec_gain": 20.0,
+
+ // Normalization parameters
+ "signal_norm": true, // normalize spec values. Mean-Var normalization if 'stats_path' is defined otherwise range normalization defined by the other params.
+ "min_level_db": -100, // lower bound for normalization
+ "symmetric_norm": true, // move normalization to range [-1, 1]
+ "max_norm": 4.0, // scale normalization to range [-max_norm, max_norm] or [0, max_norm]
+ "clip_norm": true, // clip normalized values into the range.
+ "stats_path": null // DO NOT USE WITH MULTI_SPEAKER MODEL. scaler stats file computed by 'compute_statistics.py'. If it is defined, mean-std based notmalization is used and other normalization params are ignored
+ },
+
+ // VOCABULARY PARAMETERS
+ // if custom character set is not defined,
+ // default set in symbols.py is used
+ // "characters":{
+ // "pad": "_",
+ // "eos": "~",
+ // "bos": "^",
+ // "characters": "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz!'(),-.:;? ",
+ // "punctuations":"!'(),-.:;? ",
+ // "phonemes":"iyɨʉɯuɪʏʊeøɘəɵɤoɛœɜɞʌɔæɐaɶɑɒᵻʘɓǀɗǃʄǂɠǁʛpbtdʈɖcɟkɡqɢʔɴŋɲɳnɱmʙrʀⱱɾɽɸβfvθðszʃʒʂʐçʝxɣχʁħʕhɦɬɮʋɹɻjɰlɭʎʟˈˌːˑʍwɥʜʢʡɕʑɺɧɚ˞ɫ"
+ // },
+
+ // DISTRIBUTED TRAINING
+ "distributed":{
+ "backend": "nccl",
+ "url": "tcp:\/\/localhost:54321"
+ },
+
+ "reinit_layers": [], // give a list of layer names to restore from the given checkpoint. If not defined, it reloads all heuristically matching layers.
+
+ // TRAINING
+ "batch_size": 1, // Batch size for training. Lower values than 32 might cause hard to learn attention. It is overwritten by 'gradual_training'.
+ "eval_batch_size":1,
+ "r": 7, // Number of decoder frames to predict per iteration. Set the initial values if gradual training is enabled.
+ "gradual_training": [[0, 7, 4]], //set gradual training steps [first_step, r, batch_size]. If it is null, gradual training is disabled. For Tacotron, you might need to reduce the 'batch_size' as you proceeed.
+ "loss_masking": true, // enable / disable loss masking against the sequence padding.
+ "ga_alpha": 10.0, // weight for guided attention loss. If > 0, guided attention is enabled.
+ "apex_amp_level": null,
+
+ // VALIDATION
+ "run_eval": true,
+ "test_delay_epochs": 0, //Until attention is aligned, testing only wastes computation time.
+ "test_sentences_file": null, // set a file to load sentences to be used for testing. If it is null then we use default english sentences.
+
+ // OPTIMIZER
+ "noam_schedule": false, // use noam warmup and lr schedule.
+ "grad_clip": 1.0, // upper limit for gradients for clipping.
+ "epochs": 1, // total number of epochs to train.
+ "lr": 0.0001, // Initial learning rate. If Noam decay is active, maximum learning rate.
+ "wd": 0.000001, // Weight decay weight.
+ "warmup_steps": 4000, // Noam decay steps to increase the learning rate from 0 to "lr"
+ "seq_len_norm": false, // Normalize eash sample loss with its length to alleviate imbalanced datasets. Use it if your dataset is small or has skewed distribution of sequence lengths.
+
+ // TACOTRON PRENET
+ "memory_size": -1, // ONLY TACOTRON - size of the memory queue used fro storing last decoder predictions for auto-regression. If < 0, memory queue is disabled and decoder only uses the last prediction frame.
+ "prenet_type": "bn", // "original" or "bn".
+ "prenet_dropout": false, // enable/disable dropout at prenet.
+
+ // TACOTRON ATTENTION
+ "attention_type": "original", // 'original' or 'graves'
+ "attention_heads": 4, // number of attention heads (only for 'graves')
+ "attention_norm": "sigmoid", // softmax or sigmoid.
+ "windowing": false, // Enables attention windowing. Used only in eval mode.
+ "use_forward_attn": false, // if it uses forward attention. In general, it aligns faster.
+ "forward_attn_mask": false, // Additional masking forcing monotonicity only in eval mode.
+ "transition_agent": false, // enable/disable transition agent of forward attention.
+ "location_attn": true, // enable_disable location sensitive attention. It is enabled for TACOTRON by default.
+ "bidirectional_decoder": false, // use https://arxiv.org/abs/1907.09006. Use it, if attention does not work well with your dataset.
+ "double_decoder_consistency": true, // use DDC explained here https://erogol.com/solving-attention-problems-of-tts-models-with-double-decoder-consistency-draft/
+ "ddc_r": 7, // reduction rate for coarse decoder.
+
+ // STOPNET
+ "stopnet": true, // Train stopnet predicting the end of synthesis.
+ "separate_stopnet": true, // Train stopnet seperately if 'stopnet==true'. It prevents stopnet loss to influence the rest of the model. It causes a better model, but it trains SLOWER.
+
+ // TENSORBOARD and LOGGING
+ "print_step": 1, // Number of steps to log training on console.
+ "tb_plot_step": 100, // Number of steps to plot TB training figures.
+ "print_eval": false, // If True, it prints intermediate loss values in evalulation.
+ "save_step": 10000, // Number of training steps expected to save traninpg stats and checkpoints.
+ "checkpoint": true, // If true, it saves checkpoints per "save_step"
+ "tb_model_param_stats": false, // true, plots param stats per layer on tensorboard. Might be memory consuming, but good for debugging.
+
+ // DATA LOADING
+ "text_cleaner": "phoneme_cleaners",
+ "enable_eos_bos_chars": false, // enable/disable beginning of sentence and end of sentence chars.
+ "num_loader_workers": 4, // number of training data loader processes. Don't set it too big. 4-8 are good values.
+ "num_val_loader_workers": 4, // number of evaluation data loader processes.
+ "batch_group_size": 0, //Number of batches to shuffle after bucketing.
+ "min_seq_len": 6, // DATASET-RELATED: minimum text length to use in training
+ "max_seq_len": 153, // DATASET-RELATED: maximum text length
+
+ // PATHS
+ "output_path": "tests/train_outputs/",
+
+ // PHONEMES
+ "phoneme_cache_path": "tests/train_outputs/phoneme_cache/", // phoneme computation is slow, therefore, it caches results in the given folder.
+ "use_phonemes": true, // use phonemes instead of raw characters. It is suggested for better pronounciation.
+ "phoneme_language": "en-us", // depending on your target language, pick one from https://github.com/bootphon/phonemizer#languages
+
+ // MULTI-SPEAKER and GST
+ "use_speaker_embedding": false, // use speaker embedding to enable multi-speaker learning.
+ "style_wav_for_test": null, // path to style wav file to be used in TacotronGST inference.
+ "use_gst": false, // TACOTRON ONLY: use global style tokens
+
+ // DATASETS
+ "train_portion": 0.1, // dataset portion used for training. It is mainly for internal experiments.
+ "eval_portion": 0.1, // dataset portion used for training. It is mainly for internal experiments.
+ "datasets": // List of datasets. They all merged and they get different speaker_ids.
+ [
+ {
+ "name": "ljspeech",
+ "path": "tests/data/ljspeech/",
+ "meta_file_train": "metadata.csv",
+ "meta_file_val": "metadata.csv"
+ }
+ ]
+
+}
+
+=======
+{
+ "model": "Tacotron2",
+ "run_name": "ljspeech-ddc-bn",
+ "run_description": "tacotron2 with ddc and batch-normalization",
+
+ // AUDIO PARAMETERS
+ "audio":{
+ // stft parameters
+ "fft_size": 1024, // number of stft frequency levels. Size of the linear spectogram frame.
+ "win_length": 1024, // stft window length in ms.
+ "hop_length": 256, // stft window hop-lengh in ms.
+ "frame_length_ms": null, // stft window length in ms.If null, 'win_length' is used.
+ "frame_shift_ms": null, // stft window hop-lengh in ms. If null, 'hop_length' is used.
+
+ // Audio processing parameters
+ "sample_rate": 22050, // DATASET-RELATED: wav sample-rate.
+ "preemphasis": 0.0, // pre-emphasis to reduce spec noise and make it more structured. If 0.0, no -pre-emphasis.
+ "ref_level_db": 20, // reference level db, theoretically 20db is the sound of air.
+
+ // Silence trimming
+ "do_trim_silence": true,// enable trimming of slience of audio as you load it. LJspeech (true), TWEB (false), Nancy (true)
+ "trim_db": 60, // threshold for timming silence. Set this according to your dataset.
+
+ // Griffin-Lim
+ "power": 1.5, // value to sharpen wav signals after GL algorithm.
+ "griffin_lim_iters": 60,// #griffin-lim iterations. 30-60 is a good range. Larger the value, slower the generation.
+
+ // MelSpectrogram parameters
+ "num_mels": 80, // size of the mel spec frame.
+ "mel_fmin": 0.0, // minimum freq level for mel-spec. ~50 for male and ~95 for female voices. Tune for dataset!!
+ "mel_fmax": 8000.0, // maximum freq level for mel-spec. Tune for dataset!!
+ "spec_gain": 20,
+
+ // Normalization parameters
+ "signal_norm": true, // normalize spec values. Mean-Var normalization if 'stats_path' is defined otherwise range normalization defined by the other params.
+ "min_level_db": -100, // lower bound for normalization
+ "symmetric_norm": true, // move normalization to range [-1, 1]
+ "max_norm": 4.0, // scale normalization to range [-max_norm, max_norm] or [0, max_norm]
+ "clip_norm": true, // clip normalized values into the range.
+ "stats_path": null // DO NOT USE WITH MULTI_SPEAKER MODEL. scaler stats file computed by 'compute_statistics.py'. If it is defined, mean-std based notmalization is used and other normalization params are ignored
+ },
+
+ // VOCABULARY PARAMETERS
+ // if custom character set is not defined,
+ // default set in symbols.py is used
+ // "characters":{
+ // "pad": "_",
+ // "eos": "~",
+ // "bos": "^",
+ // "characters": "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz!'(),-.:;? ",
+ // "punctuations":"!'(),-.:;? ",
+ // "phonemes":"iyɨʉɯuɪʏʊeøɘəɵɤoɛœɜɞʌɔæɐaɶɑɒᵻʘɓǀɗǃʄǂɠǁʛpbtdʈɖcɟkɡqɢʔɴŋɲɳnɱmʙrʀⱱɾɽɸβfvθðszʃʒʂʐçʝxɣχʁħʕhɦɬɮʋɹɻjɰlɭʎʟˈˌːˑʍwɥʜʢʡɕʑɺɧɚ˞ɫ"
+ // },
+
+ // DISTRIBUTED TRAINING
+ "distributed":{
+ "backend": "nccl",
+ "url": "tcp:\/\/localhost:54321"
+ },
+
+ "reinit_layers": [], // give a list of layer names to restore from the given checkpoint. If not defined, it reloads all heuristically matching layers.
+
+ // TRAINING
+ "batch_size": 32, // Batch size for training. Lower values than 32 might cause hard to learn attention. It is overwritten by 'gradual_training'.
+ "eval_batch_size":16,
+ "r": 7, // Number of decoder frames to predict per iteration. Set the initial values if gradual training is enabled.
+ "gradual_training": [[0, 7, 64], [1, 5, 64], [50000, 3, 32], [130000, 2, 32], [290000, 1, 32]], //set gradual training steps [first_step, r, batch_size]. If it is null, gradual training is disabled. For Tacotron, you might need to reduce the 'batch_size' as you proceeed.
+ "loss_masking": true, // enable / disable loss masking against the sequence padding.
+ "ga_alpha": 10.0, // weight for guided attention loss. If > 0, guided attention is enabled.
+
+ // VALIDATION
+ "run_eval": true,
+ "test_delay_epochs": 10, //Until attention is aligned, testing only wastes computation time.
+ "test_sentences_file": null, // set a file to load sentences to be used for testing. If it is null then we use default english sentences.
+
+ // OPTIMIZER
+ "noam_schedule": false, // use noam warmup and lr schedule.
+ "grad_clip": 1.0, // upper limit for gradients for clipping.
+ "epochs": 1000, // total number of epochs to train.
+ "lr": 0.0001, // Initial learning rate. If Noam decay is active, maximum learning rate.
+ "wd": 0.000001, // Weight decay weight.
+ "warmup_steps": 4000, // Noam decay steps to increase the learning rate from 0 to "lr"
+ "seq_len_norm": false, // Normalize eash sample loss with its length to alleviate imbalanced datasets. Use it if your dataset is small or has skewed distribution of sequence lengths.
+
+ // TACOTRON PRENET
+ "memory_size": -1, // ONLY TACOTRON - size of the memory queue used fro storing last decoder predictions for auto-regression. If < 0, memory queue is disabled and decoder only uses the last prediction frame.
+ "prenet_type": "bn", // "original" or "bn".
+ "prenet_dropout": false, // enable/disable dropout at prenet.
+
+ // TACOTRON ATTENTION
+ "attention_type": "original", // 'original' or 'graves'
+ "attention_heads": 4, // number of attention heads (only for 'graves')
+ "attention_norm": "sigmoid", // softmax or sigmoid.
+ "windowing": false, // Enables attention windowing. Used only in eval mode.
+ "use_forward_attn": false, // if it uses forward attention. In general, it aligns faster.
+ "forward_attn_mask": false, // Additional masking forcing monotonicity only in eval mode.
+ "transition_agent": false, // enable/disable transition agent of forward attention.
+ "location_attn": true, // enable_disable location sensitive attention. It is enabled for TACOTRON by default.
+ "bidirectional_decoder": false, // use https://arxiv.org/abs/1907.09006. Use it, if attention does not work well with your dataset.
+ "double_decoder_consistency": true, // use DDC explained here https://erogol.com/solving-attention-problems-of-tts-models-with-double-decoder-consistency-draft/
+ "ddc_r": 7, // reduction rate for coarse decoder.
+
+ // STOPNET
+ "stopnet": true, // Train stopnet predicting the end of synthesis.
+ "separate_stopnet": true, // Train stopnet seperately if 'stopnet==true'. It prevents stopnet loss to influence the rest of the model. It causes a better model, but it trains SLOWER.
+
+ // TENSORBOARD and LOGGING
+ "print_step": 25, // Number of steps to log training on console.
+ "tb_plot_step:": 100, // Number of steps to plot TB training figures.
+ "print_eval": false, // If True, it prints intermediate loss values in evalulation.
+ "save_step": 10000, // Number of training steps expected to save traninpg stats and checkpoints.
+ "checkpoint": true, // If true, it saves checkpoints per "save_step"
+ "tb_model_param_stats": false, // true, plots param stats per layer on tensorboard. Might be memory consuming, but good for debugging.
+
+ // DATA LOADING
+ "text_cleaner": "phoneme_cleaners",
+ "enable_eos_bos_chars": false, // enable/disable beginning of sentence and end of sentence chars.
+ "num_loader_workers": 4, // number of training data loader processes. Don't set it too big. 4-8 are good values.
+ "num_val_loader_workers": 4, // number of evaluation data loader processes.
+ "batch_group_size": 0, //Number of batches to shuffle after bucketing.
+ "min_seq_len": 6, // DATASET-RELATED: minimum text length to use in training
+ "max_seq_len": 153, // DATASET-RELATED: maximum text length
+
+ // PATHS
+ "output_path": "/home/erogol/Models/LJSpeech/",
+
+ // PHONEMES
+ "phoneme_cache_path": "/media/erogol/data_ssd2/mozilla_us_phonemes_3", // phoneme computation is slow, therefore, it caches results in the given folder.
+ "use_phonemes": true, // use phonemes instead of raw characters. It is suggested for better pronounciation.
+ "phoneme_language": "en-us", // depending on your target language, pick one from https://github.com/bootphon/phonemizer#languages
+
+ // MULTI-SPEAKER and GST
+ "use_speaker_embedding": false, // use speaker embedding to enable multi-speaker learning.
+ "use_gst": true, // use global style tokens
+ "gst": { // gst parameter if gst is enabled
+ "gst_style_input": null, // Condition the style input either on a
+ // -> wave file [path to wave] or
+ // -> dictionary using the style tokens {'token1': 'value', 'token2': 'value'} example {"0": 0.15, "1": 0.15, "5": -0.15}
+ // with the dictionary being len(dict) == len(gst_style_tokens).
+ "gst_embedding_dim": 512,
+ "gst_num_heads": 4,
+ "gst_style_tokens": 10
+ },
+
+ // DATASETS
+ "datasets": // List of datasets. They all merged and they get different speaker_ids.
+ [
+ {
+ "name": "ljspeech",
+ "path": "/home/erogol/Data/LJSpeech-1.1/",
+ "meta_file_train": "metadata.csv",
+ "meta_file_val": null
+ }
+ ]
+}
+
+>>>>>>> Added support for Tacotron2 GST + abbility to condition style input with wav or tokens:config.json
diff --git a/vocoder/tests/test_config.json b/tests/inputs/test_vocoder_audio_config.json
similarity index 100%
rename from vocoder/tests/test_config.json
rename to tests/inputs/test_vocoder_audio_config.json
diff --git a/tests/inputs/test_vocoder_multiband_melgan_config.json b/tests/inputs/test_vocoder_multiband_melgan_config.json
new file mode 100644
index 00000000..c0f552a4
--- /dev/null
+++ b/tests/inputs/test_vocoder_multiband_melgan_config.json
@@ -0,0 +1,144 @@
+{
+ "run_name": "multiband-melgan",
+ "run_description": "multiband melgan mean-var scaling",
+
+ // AUDIO PARAMETERS
+ "audio":{
+ "fft_size": 1024, // number of stft frequency levels. Size of the linear spectogram frame.
+ "win_length": 1024, // stft window length in ms.
+ "hop_length": 256, // stft window hop-lengh in ms.
+ "frame_length_ms": null, // stft window length in ms.If null, 'win_length' is used.
+ "frame_shift_ms": null, // stft window hop-lengh in ms. If null, 'hop_length' is used.
+
+ // Audio processing parameters
+ "sample_rate": 22050, // DATASET-RELATED: wav sample-rate. If different than the original data, it is resampled.
+ "preemphasis": 0.0, // pre-emphasis to reduce spec noise and make it more structured. If 0.0, no -pre-emphasis.
+ "ref_level_db": 0, // reference level db, theoretically 20db is the sound of air.
+
+ // Silence trimming
+ "do_trim_silence": true,// enable trimming of slience of audio as you load it. LJspeech (false), TWEB (false), Nancy (true)
+ "trim_db": 60, // threshold for timming silence. Set this according to your dataset.
+
+ // MelSpectrogram parameters
+ "num_mels": 80, // size of the mel spec frame.
+ "mel_fmin": 50.0, // minimum freq level for mel-spec. ~50 for male and ~95 for female voices. Tune for dataset!!
+ "mel_fmax": 7600.0, // maximum freq level for mel-spec. Tune for dataset!!
+ "spec_gain": 1.0, // scaler value appplied after log transform of spectrogram.
+
+ // Normalization parameters
+ "signal_norm": true, // normalize spec values. Mean-Var normalization if 'stats_path' is defined otherwise range normalization defined by the other params.
+ "min_level_db": -100, // lower bound for normalization
+ "symmetric_norm": true, // move normalization to range [-1, 1]
+ "max_norm": 4.0, // scale normalization to range [-max_norm, max_norm] or [0, max_norm]
+ "clip_norm": true, // clip normalized values into the range.
+ "stats_path": null // DO NOT USE WITH MULTI_SPEAKER MODEL. scaler stats file computed by 'compute_statistics.py'. If it is defined, mean-std based notmalization is used and other normalization params are ignored
+ },
+
+ // DISTRIBUTED TRAINING
+ // "distributed":{
+ // "backend": "nccl",
+ // "url": "tcp:\/\/localhost:54321"
+ // },
+
+ // MODEL PARAMETERS
+ "use_pqmf": true,
+
+ // LOSS PARAMETERS
+ "use_stft_loss": true,
+ "use_subband_stft_loss": true,
+ "use_mse_gan_loss": true,
+ "use_hinge_gan_loss": false,
+ "use_feat_match_loss": false, // use only with melgan discriminators
+
+ // loss weights
+ "stft_loss_weight": 0.5,
+ "subband_stft_loss_weight": 0.5,
+ "mse_G_loss_weight": 2.5,
+ "hinge_G_loss_weight": 2.5,
+ "feat_match_loss_weight": 25,
+
+ // multiscale stft loss parameters
+ "stft_loss_params": {
+ "n_ffts": [1024, 2048, 512],
+ "hop_lengths": [120, 240, 50],
+ "win_lengths": [600, 1200, 240]
+ },
+
+ // subband multiscale stft loss parameters
+ "subband_stft_loss_params":{
+ "n_ffts": [384, 683, 171],
+ "hop_lengths": [30, 60, 10],
+ "win_lengths": [150, 300, 60]
+ },
+
+ "target_loss": "avg_G_loss", // loss value to pick the best model to save after each epoch
+
+ // DISCRIMINATOR
+ "discriminator_model": "melgan_multiscale_discriminator",
+ "discriminator_model_params":{
+ "base_channels": 16,
+ "max_channels":512,
+ "downsample_factors":[4, 4, 4]
+ },
+ "steps_to_start_discriminator": 200000, // steps required to start GAN trainining.1
+
+ // GENERATOR
+ "generator_model": "multiband_melgan_generator",
+ "generator_model_params": {
+ "upsample_factors":[8, 4, 2],
+ "num_res_blocks": 4
+ },
+
+ // DATASET
+ "data_path": "tests/data/ljspeech/wavs/",
+ "feature_path": null,
+ "seq_len": 16384,
+ "pad_short": 2000,
+ "conv_pad": 0,
+ "use_noise_augment": false,
+ "use_cache": true,
+
+ "reinit_layers": [], // give a list of layer names to restore from the given checkpoint. If not defined, it reloads all heuristically matching layers.
+
+ // TRAINING
+ "batch_size": 4, // Batch size for training. Lower values than 32 might cause hard to learn attention. It is overwritten by 'gradual_training'.
+
+ // VALIDATION
+ "run_eval": true,
+ "test_delay_epochs": 10, //Until attention is aligned, testing only wastes computation time.
+ "test_sentences_file": null, // set a file to load sentences to be used for testing. If it is null then we use default english sentences.
+
+ // OPTIMIZER
+ "epochs": 1, // total number of epochs to train.
+ "wd": 0.0, // Weight decay weight.
+ "gen_clip_grad": -1, // Generator gradient clipping threshold. Apply gradient clipping if > 0
+ "disc_clip_grad": -1, // Discriminator gradient clipping threshold.
+ "lr_scheduler_gen": "MultiStepLR", // one of the schedulers from https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate
+ "lr_scheduler_gen_params": {
+ "gamma": 0.5,
+ "milestones": [100000, 200000, 300000, 400000, 500000, 600000]
+ },
+ "lr_scheduler_disc": "MultiStepLR", // one of the schedulers from https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate
+ "lr_scheduler_disc_params": {
+ "gamma": 0.5,
+ "milestones": [100000, 200000, 300000, 400000, 500000, 600000]
+ },
+ "lr_gen": 1e-4, // Initial learning rate. If Noam decay is active, maximum learning rate.
+ "lr_disc": 1e-4,
+
+ // TENSORBOARD and LOGGING
+ "print_step": 1, // Number of steps to log traning on console.
+ "print_eval": false, // If True, it prints loss values for each step in eval run.
+ "save_step": 25000, // Number of training steps expected to plot training stats on TB and save model checkpoints.
+ "checkpoint": true, // If true, it saves checkpoints per "save_step"
+ "tb_model_param_stats": false, // true, plots param stats per layer on tensorboard. Might be memory consuming, but good for debugging.
+
+ // DATA LOADING
+ "num_loader_workers": 4, // number of training data loader processes. Don't set it too big. 4-8 are good values.
+ "num_val_loader_workers": 4, // number of evaluation data loader processes.
+ "eval_split_size": 10,
+
+ // PATHS
+ "output_path": "tests/outputs/train_outputs/"
+}
+
diff --git a/tests/outputs/dummy_model_config.json b/tests/outputs/dummy_model_config.json
index c35c7495..b032f191 100644
--- a/tests/outputs/dummy_model_config.json
+++ b/tests/outputs/dummy_model_config.json
@@ -73,7 +73,7 @@
"data_path": "/media/erogol/data_ssd/Data/Mozilla/", // DATASET-RELATED: can overwritten from command argument
"meta_file_train": "metadata_train.txt", // DATASET-RELATED: metafile for training dataloader.
"meta_file_val": "metadata_val.txt", // DATASET-RELATED: metafile for evaluation dataloader.
- "dataset": "mozilla", // DATASET-RELATED: one of TTS.dataset.preprocessors depending on your target dataset. Use "tts_cache" for pre-computed dataset by extract_features.py
+ "dataset": "mozilla", // DATASET-RELATED: one of mozilla_voice_tts.dataset.preprocessors depending on your target dataset. Use "tts_cache" for pre-computed dataset by extract_features.py
"min_seq_len": 0, // DATASET-RELATED: minimum text length to use in training
"max_seq_len": 150, // DATASET-RELATED: maximum text length
"output_path": "../keep/", // DATASET-RELATED: output path for all training outputs.
@@ -84,13 +84,19 @@
"phoneme_language": "en-us", // depending on your target language, pick one from https://github.com/bootphon/phonemizer#languages
"text_cleaner": "phoneme_cleaners",
"use_speaker_embedding": false, // whether to use additional embeddings for separate speakers
- "use_gst": false,
- "gst": {
- "gst_style_input": null,
- "gst_embedding_dim": 256,
+
+ // MULTI-SPEAKER and GST
+ "use_speaker_embedding": false, // use speaker embedding to enable multi-speaker learning.
+ "use_gst": true, // use global style tokens
+ "gst": { // gst parameter if gst is enabled
+ "gst_style_input": null, // Condition the style input either on a
+ // -> wave file [path to wave] or
+ // -> dictionary using the style tokens {'token1': 'value', 'token2': 'value'} example {"0": 0.15, "1": 0.15, "5": -0.15}
+ // with the dictionary being len(dict) <= len(gst_style_tokens).
+ "gst_embedding_dim": 512,
"gst_num_heads": 4,
"gst_style_tokens": 10
- }
+ }
}
diff --git a/tests/symbols_tests.py b/tests/symbols_tests.py
index 4c32c7d6..e3cb23da 100644
--- a/tests/symbols_tests.py
+++ b/tests/symbols_tests.py
@@ -1,6 +1,6 @@
import unittest
-from TTS.utils.text import phonemes
+from mozilla_voice_tts.tts.utils.text import phonemes
class SymbolsTest(unittest.TestCase):
def test_uniqueness(self): #pylint: disable=no-self-use
diff --git a/tests/test_audio.py b/tests/test_audio.py
index 4b8ee276..6796c644 100644
--- a/tests/test_audio.py
+++ b/tests/test_audio.py
@@ -1,16 +1,17 @@
import os
import unittest
-from TTS.tests import get_tests_path, get_tests_input_path, get_tests_output_path
-from TTS.utils.audio import AudioProcessor
-from TTS.utils.io import load_config
+from tests import get_tests_input_path, get_tests_output_path, get_tests_path
+
+from mozilla_voice_tts.utils.audio import AudioProcessor
+from mozilla_voice_tts.utils.io import load_config
TESTS_PATH = get_tests_path()
OUT_PATH = os.path.join(get_tests_output_path(), "audio_tests")
WAV_FILE = os.path.join(get_tests_input_path(), "example_1.wav")
os.makedirs(OUT_PATH, exist_ok=True)
-conf = load_config(os.path.join(TESTS_PATH, 'test_config.json'))
+conf = load_config(os.path.join(get_tests_input_path(), 'test_config.json'))
# pylint: disable=protected-access
@@ -103,7 +104,7 @@ class TestAudio(unittest.TestCase):
assert (x_old - x).sum() == 0
# check value range
assert x_norm.max() <= self.ap.max_norm + 1, x_norm.max()
- assert x_norm.min() >= -self.ap.max_norm - 2, x_norm.min()
+ assert x_norm.min() >= -self.ap.max_norm - 2, x_norm.min() #pylint: disable=invalid-unary-operand-type
assert x_norm.min() <= 0, x_norm.min()
# check denorm.
x_ = self.ap._denormalize(x_norm)
@@ -120,7 +121,7 @@ class TestAudio(unittest.TestCase):
assert (x_old - x).sum() == 0
# check value range
assert x_norm.max() <= self.ap.max_norm, x_norm.max()
- assert x_norm.min() >= -self.ap.max_norm, x_norm.min()
+ assert x_norm.min() >= -self.ap.max_norm, x_norm.min() #pylint: disable=invalid-unary-operand-type
assert x_norm.min() <= 0, x_norm.min()
# check denorm.
x_ = self.ap._denormalize(x_norm)
@@ -148,7 +149,7 @@ class TestAudio(unittest.TestCase):
assert (x_old - x).sum() == 0
assert x_norm.max() <= self.ap.max_norm, x_norm.max()
- assert x_norm.min() >= -self.ap.max_norm, x_norm.min()
+ assert x_norm.min() >= -self.ap.max_norm, x_norm.min() #pylint: disable=invalid-unary-operand-type
assert x_norm.min() < 0, x_norm.min()
x_ = self.ap._denormalize(x_norm)
assert (x - x_).sum() < 1e-3
diff --git a/tests/test_demo_server.py b/tests/test_demo_server.py
index 5404304b..2ec15aba 100644
--- a/tests/test_demo_server.py
+++ b/tests/test_demo_server.py
@@ -1,13 +1,14 @@
import os
import unittest
-import torch as T
+from tests import get_tests_input_path, get_tests_output_path
-from TTS.server.synthesizer import Synthesizer
-from TTS.tests import get_tests_input_path, get_tests_output_path
-from TTS.utils.text.symbols import make_symbols, phonemes, symbols
-from TTS.utils.generic_utils import setup_model
-from TTS.utils.io import load_config, save_checkpoint
+from mozilla_voice_tts.server.synthesizer import Synthesizer
+from mozilla_voice_tts.tts.utils.generic_utils import setup_model
+from mozilla_voice_tts.tts.utils.io import save_checkpoint
+from mozilla_voice_tts.tts.utils.text.symbols import (make_symbols, phonemes,
+ symbols)
+from mozilla_voice_tts.utils.io import load_config
class DemoServerTest(unittest.TestCase):
diff --git a/speaker_encoder/tests.py b/tests/test_encoder.py
similarity index 69%
rename from speaker_encoder/tests.py
rename to tests/test_encoder.py
index 039833fc..46266f29 100644
--- a/speaker_encoder/tests.py
+++ b/tests/test_encoder.py
@@ -1,13 +1,14 @@
import os
import unittest
+
import torch as T
+from tests import get_tests_input_path
-from TTS.speaker_encoder.model import SpeakerEncoder
-from TTS.speaker_encoder.loss import GE2ELoss
-from TTS.utils.io import load_config
+from mozilla_voice_tts.speaker_encoder.losses import GE2ELoss, AngleProtoLoss
+from mozilla_voice_tts.speaker_encoder.model import SpeakerEncoder
+from mozilla_voice_tts.utils.io import load_config
-
-file_path = os.path.dirname(os.path.realpath(__file__)) + "/../tests/"
+file_path = get_tests_input_path()
c = load_config(os.path.join(file_path, "test_config.json"))
@@ -58,6 +59,7 @@ class GE2ELossTests(unittest.TestCase):
dummy_input = T.ones(4, 5, 64) # num_speaker x num_utterance x dim
loss = GE2ELoss(loss_method="softmax")
output = loss.forward(dummy_input)
+ assert output.item() >= 0.0
# check speaker loss with orthogonal d-vectors
dummy_input = T.empty(3, 64)
dummy_input = T.nn.init.orthogonal(dummy_input)
@@ -72,6 +74,34 @@ class GE2ELossTests(unittest.TestCase):
output = loss.forward(dummy_input)
assert output.item() < 0.005
+class AngleProtoLossTests(unittest.TestCase):
+ # pylint: disable=R0201
+ def test_in_out(self):
+ # check random input
+ dummy_input = T.rand(4, 5, 64) # num_speaker x num_utterance x dim
+ loss = AngleProtoLoss()
+ output = loss.forward(dummy_input)
+ assert output.item() >= 0.0
+
+ # check all zeros
+ dummy_input = T.ones(4, 5, 64) # num_speaker x num_utterance x dim
+ loss = AngleProtoLoss()
+ output = loss.forward(dummy_input)
+ assert output.item() >= 0.0
+
+ # check speaker loss with orthogonal d-vectors
+ dummy_input = T.empty(3, 64)
+ dummy_input = T.nn.init.orthogonal(dummy_input)
+ dummy_input = T.cat(
+ [
+ dummy_input[0].repeat(5, 1, 1).transpose(0, 1),
+ dummy_input[1].repeat(5, 1, 1).transpose(0, 1),
+ dummy_input[2].repeat(5, 1, 1).transpose(0, 1),
+ ]
+ ) # num_speaker x num_utterance x dim
+ loss = AngleProtoLoss()
+ output = loss.forward(dummy_input)
+ assert output.item() < 0.005
# class LoaderTest(unittest.TestCase):
# def test_output(self):
diff --git a/tests/test_layers.py b/tests/test_layers.py
index d7c8829f..0b5315c5 100644
--- a/tests/test_layers.py
+++ b/tests/test_layers.py
@@ -1,15 +1,15 @@
import unittest
import torch as T
-from TTS.layers.tacotron import Prenet, CBHG, Decoder, Encoder
-from TTS.layers.losses import L1LossMasked
-from TTS.utils.generic_utils import sequence_mask
+from mozilla_voice_tts.tts.layers.tacotron import Prenet, CBHG, Decoder, Encoder
+from mozilla_voice_tts.tts.layers.losses import L1LossMasked
+from mozilla_voice_tts.tts.utils.generic_utils import sequence_mask
# pylint: disable=unused-variable
class PrenetTests(unittest.TestCase):
- def test_in_out(self):
+ def test_in_out(self): #pylint: disable=no-self-use
layer = Prenet(128, out_features=[256, 128])
dummy_input = T.rand(4, 128)
@@ -31,7 +31,7 @@ class CBHGTests(unittest.TestCase):
gru_features=80,
num_highways=4)
# B x D x T
- dummy_input = T.rand(4, 128, 8)
+ dummy_input = T.rand(4, 128, 8)
print(layer)
output = layer(dummy_input)
@@ -44,8 +44,8 @@ class DecoderTests(unittest.TestCase):
@staticmethod
def test_in_out():
layer = Decoder(
- in_features=256,
- memory_dim=80,
+ in_channels=256,
+ frame_channels=80,
r=2,
memory_size=4,
attn_windowing=False,
@@ -58,8 +58,7 @@ class DecoderTests(unittest.TestCase):
trans_agent=True,
forward_attn_mask=True,
location_attn=True,
- separate_stopnet=True,
- speaker_embedding_dim=0)
+ separate_stopnet=True)
dummy_input = T.rand(4, 8, 256)
dummy_memory = T.rand(4, 2, 80)
@@ -71,40 +70,8 @@ class DecoderTests(unittest.TestCase):
assert output.shape[2] == 2, "size not {}".format(output.shape[2])
assert stop_tokens.shape[0] == 4
- @staticmethod
- def test_in_out_multispeaker():
- layer = Decoder(
- in_features=256,
- memory_dim=80,
- r=2,
- memory_size=4,
- attn_windowing=False,
- attn_norm="sigmoid",
- attn_K=5,
- attn_type="graves",
- prenet_type='original',
- prenet_dropout=True,
- forward_attn=True,
- trans_agent=True,
- forward_attn_mask=True,
- location_attn=True,
- separate_stopnet=True,
- speaker_embedding_dim=80)
- dummy_input = T.rand(4, 8, 256)
- dummy_memory = T.rand(4, 2, 80)
- dummy_embed = T.rand(4, 80)
-
- output, alignment, stop_tokens = layer(
- dummy_input, dummy_memory, mask=None, speaker_embeddings=dummy_embed)
-
- assert output.shape[0] == 4
- assert output.shape[1] == 80, "size not {}".format(output.shape[1])
- assert output.shape[2] == 2, "size not {}".format(output.shape[2])
- assert stop_tokens.shape[0] == 4
-
-
class EncoderTests(unittest.TestCase):
- def test_in_out(self):
+ def test_in_out(self): #pylint: disable=no-self-use
layer = Encoder(128)
dummy_input = T.rand(4, 8, 128)
@@ -117,7 +84,7 @@ class EncoderTests(unittest.TestCase):
class L1LossMaskedTests(unittest.TestCase):
- def test_in_out(self):
+ def test_in_out(self): #pylint: disable=no-self-use
# test input == target
layer = L1LossMasked(seq_len_norm=False)
dummy_input = T.ones(4, 8, 128).float()
diff --git a/tests/test_loader.py b/tests/test_loader.py
index 52d24c7a..9f084f8f 100644
--- a/tests/test_loader.py
+++ b/tests/test_loader.py
@@ -1,21 +1,22 @@
import os
-import unittest
import shutil
-import torch
-import numpy as np
+import unittest
+import numpy as np
+import torch
+from tests import get_tests_input_path, get_tests_output_path
from torch.utils.data import DataLoader
-from TTS.utils.io import load_config
-from TTS.utils.audio import AudioProcessor
-from TTS.datasets import TTSDataset
-from TTS.datasets.preprocess import ljspeech
+
+from mozilla_voice_tts.tts.datasets import TTSDataset
+from mozilla_voice_tts.tts.datasets.preprocess import ljspeech
+from mozilla_voice_tts.utils.audio import AudioProcessor
+from mozilla_voice_tts.utils.io import load_config
#pylint: disable=unused-variable
-file_path = os.path.dirname(os.path.realpath(__file__))
-OUTPATH = os.path.join(file_path, "outputs/loader_tests/")
+OUTPATH = os.path.join(get_tests_output_path(), "loader_tests/")
os.makedirs(OUTPATH, exist_ok=True)
-c = load_config(os.path.join(file_path, 'test_config.json'))
+c = load_config(os.path.join(get_tests_input_path(), 'test_config.json'))
ok_ljspeech = os.path.exists(c.data_path)
DATA_EXIST = True
@@ -32,7 +33,7 @@ class TestTTSDataset(unittest.TestCase):
self.ap = AudioProcessor(**c.audio)
def _create_dataloader(self, batch_size, r, bgs):
- items = ljspeech(c.data_path,'metadata.csv')
+ items = ljspeech(c.data_path, 'metadata.csv')
dataset = TTSDataset.MyDataset(
r,
c.text_cleaner,
@@ -74,7 +75,7 @@ class TestTTSDataset(unittest.TestCase):
assert check_count == 0, \
" !! Negative values in text_input: {}".format(check_count)
# TODO: more assertion here
- assert type(speaker_name[0]) is str
+ assert isinstance(speaker_name[0], str)
assert linear_input.shape[0] == c.batch_size
assert linear_input.shape[2] == self.ap.fft_size // 2 + 1
assert mel_input.shape[0] == c.batch_size
@@ -82,7 +83,7 @@ class TestTTSDataset(unittest.TestCase):
# check normalization ranges
if self.ap.symmetric_norm:
assert mel_input.max() <= self.ap.max_norm
- assert mel_input.min() >= -self.ap.max_norm
+ assert mel_input.min() >= -self.ap.max_norm #pylint: disable=invalid-unary-operand-type
assert mel_input.min() < 0
else:
assert mel_input.max() <= self.ap.max_norm
diff --git a/tests/test_preprocessors.py b/tests/test_preprocessors.py
index 993ee495..5c875ce6 100644
--- a/tests/test_preprocessors.py
+++ b/tests/test_preprocessors.py
@@ -1,13 +1,13 @@
import unittest
import os
-from TTS.tests import get_tests_input_path
+from tests import get_tests_input_path
-from TTS.datasets.preprocess import common_voice
+from mozilla_voice_tts.tts.datasets.preprocess import common_voice
class TestPreprocessors(unittest.TestCase):
- def test_common_voice_preprocessor(self):
+ def test_common_voice_preprocessor(self): #pylint: disable=no-self-use
root_path = get_tests_input_path()
meta_file = "common_voice.tsv"
items = common_voice(root_path, meta_file)
diff --git a/tests/test_server_package.sh b/tests/test_server_package.sh
index 83ffc6f0..a5205cdd 100755
--- a/tests/test_server_package.sh
+++ b/tests/test_server_package.sh
@@ -12,12 +12,12 @@ pip install --quiet --upgrade pip setuptools wheel
rm -f dist/*.whl
python setup.py --quiet bdist_wheel --checkpoint tests/outputs/checkpoint_10.pth.tar --model_config tests/outputs/dummy_model_config.json
-pip install --quiet dist/TTS*.whl
+pip install --quiet dist/mozilla_voice_tts*.whl
# this is related to https://github.com/librosa/librosa/issues/1160
pip install numba==0.48
-python -m TTS.server.server &
+python -m mozilla_voice_tts.server.server &
SERVER_PID=$!
echo 'Waiting for server...'
diff --git a/tests/test_stft_torch.py b/tests/test_stft_torch.py
new file mode 100644
index 00000000..e69de29b
diff --git a/tests/test_tacotron2_model.py b/tests/test_tacotron2_model.py
index 43003227..28d39de5 100644
--- a/tests/test_tacotron2_model.py
+++ b/tests/test_tacotron2_model.py
@@ -1,13 +1,15 @@
-import os
import copy
-import torch
+import os
import unittest
-from torch import optim
-from torch import nn
-from TTS.utils.io import load_config
-from TTS.layers.losses import MSELossMasked
-from TTS.models.tacotron2 import Tacotron2
+import torch
+from tests import get_tests_input_path
+from torch import nn, optim
+
+from mozilla_voice_tts.tts.layers.losses import MSELossMasked
+from mozilla_voice_tts.tts.models.tacotron2 import Tacotron2
+from mozilla_voice_tts.utils.io import load_config
+from mozilla_voice_tts.utils.audio import AudioProcessor
#pylint: disable=unused-variable
@@ -15,13 +17,14 @@ torch.manual_seed(1)
use_cuda = torch.cuda.is_available()
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
-file_path = os.path.dirname(os.path.realpath(__file__))
-c = load_config(os.path.join(file_path, 'test_config.json'))
+c = load_config(os.path.join(get_tests_input_path(), 'test_config.json'))
+
+ap = AudioProcessor(**c.audio)
+WAV_FILE = os.path.join(get_tests_input_path(), "example_1.wav")
class TacotronTrainTest(unittest.TestCase):
- @staticmethod
- def test_train_step():
+ def test_train_step(self): # pylint: disable=no-self-use
input_dummy = torch.randint(0, 24, (8, 128)).long().to(device)
input_lengths = torch.randint(100, 128, (8, )).long().to(device)
input_lengths = torch.sort(input_lengths, descending=True)[0]
@@ -71,3 +74,167 @@ class TacotronTrainTest(unittest.TestCase):
), "param {} with shape {} not updated!! \n{}\n{}".format(
count, param.shape, param, param_ref)
count += 1
+
+
+class MultiSpeakeTacotronTrainTest(unittest.TestCase):
+ @staticmethod
+ def test_train_step():
+ input_dummy = torch.randint(0, 24, (8, 128)).long().to(device)
+ input_lengths = torch.randint(100, 128, (8, )).long().to(device)
+ input_lengths = torch.sort(input_lengths, descending=True)[0]
+ mel_spec = torch.rand(8, 30, c.audio['num_mels']).to(device)
+ mel_postnet_spec = torch.rand(8, 30, c.audio['num_mels']).to(device)
+ mel_lengths = torch.randint(20, 30, (8, )).long().to(device)
+ mel_lengths[0] = 30
+ stop_targets = torch.zeros(8, 30, 1).float().to(device)
+ speaker_embeddings = torch.rand(8, 55).to(device)
+
+ for idx in mel_lengths:
+ stop_targets[:, int(idx.item()):, 0] = 1.0
+
+ stop_targets = stop_targets.view(input_dummy.shape[0],
+ stop_targets.size(1) // c.r, -1)
+ stop_targets = (stop_targets.sum(2) > 0.0).unsqueeze(2).float().squeeze()
+
+ criterion = MSELossMasked(seq_len_norm=False).to(device)
+ criterion_st = nn.BCEWithLogitsLoss().to(device)
+ model = Tacotron2(num_chars=24, r=c.r, num_speakers=5, speaker_embedding_dim=55).to(device)
+ model.train()
+ model_ref = copy.deepcopy(model)
+ count = 0
+ for param, param_ref in zip(model.parameters(),
+ model_ref.parameters()):
+ assert (param - param_ref).sum() == 0, param
+ count += 1
+ optimizer = optim.Adam(model.parameters(), lr=c.lr)
+ for i in range(5):
+ mel_out, mel_postnet_out, align, stop_tokens = model.forward(
+ input_dummy, input_lengths, mel_spec, mel_lengths, speaker_embeddings=speaker_embeddings)
+ assert torch.sigmoid(stop_tokens).data.max() <= 1.0
+ assert torch.sigmoid(stop_tokens).data.min() >= 0.0
+ optimizer.zero_grad()
+ loss = criterion(mel_out, mel_spec, mel_lengths)
+ stop_loss = criterion_st(stop_tokens, stop_targets)
+ loss = loss + criterion(mel_postnet_out, mel_postnet_spec, mel_lengths) + stop_loss
+ loss.backward()
+ optimizer.step()
+ # check parameter changes
+ count = 0
+ for param, param_ref in zip(model.parameters(),
+ model_ref.parameters()):
+ # ignore pre-higway layer since it works conditional
+ # if count not in [145, 59]:
+ assert (param != param_ref).any(
+ ), "param {} with shape {} not updated!! \n{}\n{}".format(
+ count, param.shape, param, param_ref)
+ count += 1
+
+class TacotronGSTTrainTest(unittest.TestCase):
+ #pylint: disable=no-self-use
+ def test_train_step(self):
+ # with random gst mel style
+ input_dummy = torch.randint(0, 24, (8, 128)).long().to(device)
+ input_lengths = torch.randint(100, 128, (8, )).long().to(device)
+ input_lengths = torch.sort(input_lengths, descending=True)[0]
+ mel_spec = torch.rand(8, 30, c.audio['num_mels']).to(device)
+ mel_postnet_spec = torch.rand(8, 30, c.audio['num_mels']).to(device)
+ mel_lengths = torch.randint(20, 30, (8, )).long().to(device)
+ mel_lengths[0] = 30
+ stop_targets = torch.zeros(8, 30, 1).float().to(device)
+ speaker_ids = torch.randint(0, 5, (8, )).long().to(device)
+
+ for idx in mel_lengths:
+ stop_targets[:, int(idx.item()):, 0] = 1.0
+
+ stop_targets = stop_targets.view(input_dummy.shape[0],
+ stop_targets.size(1) // c.r, -1)
+ stop_targets = (stop_targets.sum(2) > 0.0).unsqueeze(2).float().squeeze()
+
+ criterion = MSELossMasked(seq_len_norm=False).to(device)
+ criterion_st = nn.BCEWithLogitsLoss().to(device)
+ model = Tacotron2(num_chars=24, r=c.r, num_speakers=5, gst=True, gst_embedding_dim=c.gst['gst_embedding_dim'], gst_num_heads=c.gst['gst_num_heads'], gst_style_tokens=c.gst['gst_style_tokens']).to(device)
+ model.train()
+ model_ref = copy.deepcopy(model)
+ count = 0
+ for param, param_ref in zip(model.parameters(), model_ref.parameters()):
+ assert (param - param_ref).sum() == 0, param
+ count += 1
+ optimizer = optim.Adam(model.parameters(), lr=c.lr)
+ for i in range(10):
+ mel_out, mel_postnet_out, align, stop_tokens = model.forward(
+ input_dummy, input_lengths, mel_spec, mel_lengths, speaker_ids)
+ assert torch.sigmoid(stop_tokens).data.max() <= 1.0
+ assert torch.sigmoid(stop_tokens).data.min() >= 0.0
+ optimizer.zero_grad()
+ loss = criterion(mel_out, mel_spec, mel_lengths)
+ stop_loss = criterion_st(stop_tokens, stop_targets)
+ loss = loss + criterion(mel_postnet_out, mel_postnet_spec, mel_lengths) + stop_loss
+ loss.backward()
+ optimizer.step()
+ # check parameter changes
+ count = 0
+ for name_param, param_ref in zip(model.named_parameters(), model_ref.parameters()):
+ # ignore pre-higway layer since it works conditional
+ # if count not in [145, 59]:
+ name, param = name_param
+ if name == 'gst_layer.encoder.recurrence.weight_hh_l0':
+ #print(param.grad)
+ continue
+ assert (param != param_ref).any(
+ ), "param {} {} with shape {} not updated!! \n{}\n{}".format(
+ name, count, param.shape, param, param_ref)
+ count += 1
+
+ # with file gst style
+ mel_spec = torch.FloatTensor(ap.melspectrogram(ap.load_wav(WAV_FILE)))[:, :30].unsqueeze(0).transpose(1, 2).to(device)
+ mel_spec = mel_spec.repeat(8, 1, 1)
+ input_dummy = torch.randint(0, 24, (8, 128)).long().to(device)
+ input_lengths = torch.randint(100, 128, (8, )).long().to(device)
+ input_lengths = torch.sort(input_lengths, descending=True)[0]
+ mel_postnet_spec = torch.rand(8, 30, c.audio['num_mels']).to(device)
+ mel_lengths = torch.randint(20, 30, (8, )).long().to(device)
+ mel_lengths[0] = 30
+ stop_targets = torch.zeros(8, 30, 1).float().to(device)
+ speaker_ids = torch.randint(0, 5, (8, )).long().to(device)
+
+ for idx in mel_lengths:
+ stop_targets[:, int(idx.item()):, 0] = 1.0
+
+ stop_targets = stop_targets.view(input_dummy.shape[0],
+ stop_targets.size(1) // c.r, -1)
+ stop_targets = (stop_targets.sum(2) > 0.0).unsqueeze(2).float().squeeze()
+
+ criterion = MSELossMasked(seq_len_norm=False).to(device)
+ criterion_st = nn.BCEWithLogitsLoss().to(device)
+ model = Tacotron2(num_chars=24, r=c.r, num_speakers=5, gst=True, gst_embedding_dim=c.gst['gst_embedding_dim'], gst_num_heads=c.gst['gst_num_heads'], gst_style_tokens=c.gst['gst_style_tokens']).to(device)
+ model.train()
+ model_ref = copy.deepcopy(model)
+ count = 0
+ for param, param_ref in zip(model.parameters(), model_ref.parameters()):
+ assert (param - param_ref).sum() == 0, param
+ count += 1
+ optimizer = optim.Adam(model.parameters(), lr=c.lr)
+ for i in range(10):
+ mel_out, mel_postnet_out, align, stop_tokens = model.forward(
+ input_dummy, input_lengths, mel_spec, mel_lengths, speaker_ids)
+ assert torch.sigmoid(stop_tokens).data.max() <= 1.0
+ assert torch.sigmoid(stop_tokens).data.min() >= 0.0
+ optimizer.zero_grad()
+ loss = criterion(mel_out, mel_spec, mel_lengths)
+ stop_loss = criterion_st(stop_tokens, stop_targets)
+ loss = loss + criterion(mel_postnet_out, mel_postnet_spec, mel_lengths) + stop_loss
+ loss.backward()
+ optimizer.step()
+ # check parameter changes
+ count = 0
+ for name_param, param_ref in zip(model.named_parameters(), model_ref.parameters()):
+ # ignore pre-higway layer since it works conditional
+ # if count not in [145, 59]:
+ name, param = name_param
+ if name == 'gst_layer.encoder.recurrence.weight_hh_l0':
+ #print(param.grad)
+ continue
+ assert (param != param_ref).any(
+ ), "param {} {} with shape {} not updated!! \n{}\n{}".format(
+ name, count, param.shape, param, param_ref)
+ count += 1
diff --git a/tf/tests/test_tacotron2_tf_model.py b/tests/test_tacotron2_tf_model.py
similarity index 93%
rename from tf/tests/test_tacotron2_tf_model.py
rename to tests/test_tacotron2_tf_model.py
index 03db194a..50853e9a 100644
--- a/tf/tests/test_tacotron2_tf_model.py
+++ b/tests/test_tacotron2_tf_model.py
@@ -1,13 +1,19 @@
import os
-import torch
import unittest
+
import numpy as np
import tensorflow as tf
+import torch
+from tests import get_tests_input_path
+
+from mozilla_voice_tts.tts.tf.models.tacotron2 import Tacotron2
+from mozilla_voice_tts.tts.tf.utils.tflite import (convert_tacotron2_to_tflite,
+ load_tflite_model)
+from mozilla_voice_tts.utils.io import load_config
+
tf.get_logger().setLevel('INFO')
-from TTS.utils.io import load_config
-from TTS.tf.models.tacotron2 import Tacotron2
-from TTS.tf.utils.tflite import convert_tacotron2_to_tflite, load_tflite_model
+
#pylint: disable=unused-variable
@@ -15,8 +21,7 @@ torch.manual_seed(1)
use_cuda = torch.cuda.is_available()
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
-file_path = os.path.dirname(os.path.realpath(__file__)).replace('/tf/', '/')
-c = load_config(os.path.join(file_path, 'test_config.json'))
+c = load_config(os.path.join(get_tests_input_path(), 'test_config.json'))
class TacotronTFTrainTest(unittest.TestCase):
@@ -131,4 +136,3 @@ class TacotronTFTrainTest(unittest.TestCase):
postnet_output = tflite_model.get_tensor(output_details[1]['index'])
# remove tflite binary
os.remove('test_tacotron2.tflite')
-
diff --git a/tests/test_tacotron_model.py b/tests/test_tacotron_model.py
index 00cc38df..0b80243f 100644
--- a/tests/test_tacotron_model.py
+++ b/tests/test_tacotron_model.py
@@ -1,13 +1,15 @@
-import os
import copy
-import torch
+import os
import unittest
-from torch import optim
-from torch import nn
-from TTS.utils.io import load_config
-from TTS.layers.losses import L1LossMasked
-from TTS.models.tacotron import Tacotron
+import torch
+from tests import get_tests_input_path
+from torch import nn, optim
+
+from mozilla_voice_tts.tts.layers.losses import L1LossMasked
+from mozilla_voice_tts.tts.models.tacotron import Tacotron
+from mozilla_voice_tts.utils.io import load_config
+from mozilla_voice_tts.utils.audio import AudioProcessor
#pylint: disable=unused-variable
@@ -15,8 +17,10 @@ torch.manual_seed(1)
use_cuda = torch.cuda.is_available()
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
-file_path = os.path.dirname(os.path.realpath(__file__))
-c = load_config(os.path.join(file_path, 'test_config.json'))
+c = load_config(os.path.join(get_tests_input_path(), 'test_config.json'))
+
+ap = AudioProcessor(**c.audio)
+WAV_FILE = os.path.join(get_tests_input_path(), "example_1.wav")
def count_parameters(model):
@@ -85,10 +89,73 @@ class TacotronTrainTest(unittest.TestCase):
count, param.shape, param, param_ref)
count += 1
+class MultiSpeakeTacotronTrainTest(unittest.TestCase):
+ @staticmethod
+ def test_train_step():
+ input_dummy = torch.randint(0, 24, (8, 128)).long().to(device)
+ input_lengths = torch.randint(100, 129, (8, )).long().to(device)
+ input_lengths[-1] = 128
+ mel_spec = torch.rand(8, 30, c.audio['num_mels']).to(device)
+ linear_spec = torch.rand(8, 30, c.audio['fft_size']).to(device)
+ mel_lengths = torch.randint(20, 30, (8, )).long().to(device)
+ stop_targets = torch.zeros(8, 30, 1).float().to(device)
+ speaker_embeddings = torch.rand(8, 55).to(device)
+
+ for idx in mel_lengths:
+ stop_targets[:, int(idx.item()):, 0] = 1.0
+
+ stop_targets = stop_targets.view(input_dummy.shape[0],
+ stop_targets.size(1) // c.r, -1)
+ stop_targets = (stop_targets.sum(2) >
+ 0.0).unsqueeze(2).float().squeeze()
+
+ criterion = L1LossMasked(seq_len_norm=False).to(device)
+ criterion_st = nn.BCEWithLogitsLoss().to(device)
+ model = Tacotron(
+ num_chars=32,
+ num_speakers=5,
+ postnet_output_dim=c.audio['fft_size'],
+ decoder_output_dim=c.audio['num_mels'],
+ r=c.r,
+ memory_size=c.memory_size,
+ speaker_embedding_dim=55,
+ ).to(device) #FIXME: missing num_speakers parameter to Tacotron ctor
+ model.train()
+ print(" > Num parameters for Tacotron model:%s" %
+ (count_parameters(model)))
+ model_ref = copy.deepcopy(model)
+ count = 0
+ for param, param_ref in zip(model.parameters(),
+ model_ref.parameters()):
+ assert (param - param_ref).sum() == 0, param
+ count += 1
+ optimizer = optim.Adam(model.parameters(), lr=c.lr)
+ for _ in range(5):
+ mel_out, linear_out, align, stop_tokens = model.forward(
+ input_dummy, input_lengths, mel_spec, mel_lengths,
+ speaker_embeddings=speaker_embeddings)
+ optimizer.zero_grad()
+ loss = criterion(mel_out, mel_spec, mel_lengths)
+ stop_loss = criterion_st(stop_tokens, stop_targets)
+ loss = loss + criterion(linear_out, linear_spec,
+ mel_lengths) + stop_loss
+ loss.backward()
+ optimizer.step()
+ # check parameter changes
+ count = 0
+ for param, param_ref in zip(model.parameters(),
+ model_ref.parameters()):
+ # ignore pre-higway layer since it works conditional
+ # if count not in [145, 59]:
+ assert (param != param_ref).any(
+ ), "param {} with shape {} not updated!! \n{}\n{}".format(
+ count, param.shape, param, param_ref)
+ count += 1
class TacotronGSTTrainTest(unittest.TestCase):
@staticmethod
def test_train_step():
+ # with random gst mel style
input_dummy = torch.randint(0, 24, (8, 128)).long().to(device)
input_lengths = torch.randint(100, 129, (8, )).long().to(device)
input_lengths[-1] = 128
@@ -113,13 +180,82 @@ class TacotronGSTTrainTest(unittest.TestCase):
num_chars=32,
num_speakers=5,
gst=True,
+ gst_embedding_dim=c.gst['gst_embedding_dim'],
+ gst_num_heads=c.gst['gst_num_heads'],
+ gst_style_tokens=c.gst['gst_style_tokens'],
postnet_output_dim=c.audio['fft_size'],
decoder_output_dim=c.audio['num_mels'],
r=c.r,
memory_size=c.memory_size
).to(device) #FIXME: missing num_speakers parameter to Tacotron ctor
model.train()
- print(model)
+ # print(model)
+ print(" > Num parameters for Tacotron GST model:%s" %
+ (count_parameters(model)))
+ model_ref = copy.deepcopy(model)
+ count = 0
+ for param, param_ref in zip(model.parameters(),
+ model_ref.parameters()):
+ assert (param - param_ref).sum() == 0, param
+ count += 1
+ optimizer = optim.Adam(model.parameters(), lr=c.lr)
+ for _ in range(10):
+ mel_out, linear_out, align, stop_tokens = model.forward(
+ input_dummy, input_lengths, mel_spec, mel_lengths, speaker_ids)
+ optimizer.zero_grad()
+ loss = criterion(mel_out, mel_spec, mel_lengths)
+ stop_loss = criterion_st(stop_tokens, stop_targets)
+ loss = loss + criterion(linear_out, linear_spec,
+ mel_lengths) + stop_loss
+ loss.backward()
+ optimizer.step()
+ # check parameter changes
+ count = 0
+ for param, param_ref in zip(model.parameters(),
+ model_ref.parameters()):
+ # ignore pre-higway layer since it works conditional
+ assert (param != param_ref).any(
+ ), "param {} with shape {} not updated!! \n{}\n{}".format(
+ count, param.shape, param, param_ref)
+ count += 1
+
+ # with file gst style
+ mel_spec = torch.FloatTensor(ap.melspectrogram(ap.load_wav(WAV_FILE)))[:, :120].unsqueeze(0).transpose(1, 2).to(device)
+ mel_spec = mel_spec.repeat(8, 1, 1)
+
+ input_dummy = torch.randint(0, 24, (8, 128)).long().to(device)
+ input_lengths = torch.randint(100, 129, (8, )).long().to(device)
+ input_lengths[-1] = 128
+ linear_spec = torch.rand(8, mel_spec.size(1), c.audio['fft_size']).to(device)
+ mel_lengths = torch.randint(20, mel_spec.size(1), (8, )).long().to(device)
+ mel_lengths[-1] = mel_spec.size(1)
+ stop_targets = torch.zeros(8, mel_spec.size(1), 1).float().to(device)
+ speaker_ids = torch.randint(0, 5, (8, )).long().to(device)
+
+ for idx in mel_lengths:
+ stop_targets[:, int(idx.item()):, 0] = 1.0
+
+ stop_targets = stop_targets.view(input_dummy.shape[0],
+ stop_targets.size(1) // c.r, -1)
+ stop_targets = (stop_targets.sum(2) >
+ 0.0).unsqueeze(2).float().squeeze()
+
+ criterion = L1LossMasked(seq_len_norm=False).to(device)
+ criterion_st = nn.BCEWithLogitsLoss().to(device)
+ model = Tacotron(
+ num_chars=32,
+ num_speakers=5,
+ gst=True,
+ gst_embedding_dim=c.gst['gst_embedding_dim'],
+ gst_num_heads=c.gst['gst_num_heads'],
+ gst_style_tokens=c.gst['gst_style_tokens'],
+ postnet_output_dim=c.audio['fft_size'],
+ decoder_output_dim=c.audio['num_mels'],
+ r=c.r,
+ memory_size=c.memory_size
+ ).to(device) #FIXME: missing num_speakers parameter to Tacotron ctor
+ model.train()
+ # print(model)
print(" > Num parameters for Tacotron GST model:%s" %
(count_parameters(model)))
model_ref = copy.deepcopy(model)
diff --git a/tests/test_text_processing.py b/tests/test_text_processing.py
index 93edabe7..61c2a407 100644
--- a/tests/test_text_processing.py
+++ b/tests/test_text_processing.py
@@ -3,12 +3,12 @@ import os
# pylint: disable=wildcard-import
# pylint: disable=unused-import
import unittest
-from TTS.utils.text import *
-from TTS.tests import get_tests_path
-from TTS.utils.io import load_config
+from tests import get_tests_input_path
+from mozilla_voice_tts.tts.utils.text import *
+from tests import get_tests_path
+from mozilla_voice_tts.utils.io import load_config
-TESTS_PATH = get_tests_path()
-conf = load_config(os.path.join(TESTS_PATH, 'test_config.json'))
+conf = load_config(os.path.join(get_tests_input_path(), 'test_config.json'))
def test_phoneme_to_sequence():
text = "Recent research at Harvard has shown meditating for as little as 8 weeks can actually increase, the grey matter in the parts of the brain responsible for emotional regulation and learning!"
@@ -16,16 +16,16 @@ def test_phoneme_to_sequence():
lang = "en-us"
sequence = phoneme_to_sequence(text, text_cleaner, lang)
text_hat = sequence_to_phoneme(sequence)
- sequence_with_params = phoneme_to_sequence(text, text_cleaner, lang, tp=conf.characters)
+ _ = phoneme_to_sequence(text, text_cleaner, lang, tp=conf.characters)
text_hat_with_params = sequence_to_phoneme(sequence, tp=conf.characters)
gt = "ɹiːsənt ɹɪsɜːtʃ æt hɑːɹvɚd hɐz ʃoʊn mɛdᵻteɪɾɪŋ fɔːɹ æz lɪɾəl æz eɪt wiːks kæn æktʃuːəli ɪnkɹiːs, ðə ɡɹeɪ mæɾɚɹ ɪnðə pɑːɹts ʌvðə bɹeɪn ɹɪspɑːnsəbəl fɔːɹ ɪmoʊʃənəl ɹɛɡjuːleɪʃən ænd lɜːnɪŋ!"
- assert text_hat == text_hat_with_params == gt
+ assert text_hat == text_hat_with_params == gt
# multiple punctuations
text = "Be a voice, not an! echo?"
sequence = phoneme_to_sequence(text, text_cleaner, lang)
text_hat = sequence_to_phoneme(sequence)
- sequence_with_params = phoneme_to_sequence(text, text_cleaner, lang, tp=conf.characters)
+ _ = phoneme_to_sequence(text, text_cleaner, lang, tp=conf.characters)
text_hat_with_params = sequence_to_phoneme(sequence, tp=conf.characters)
gt = "biː ɐ vɔɪs, nɑːt ɐn! ɛkoʊ?"
print(text_hat)
@@ -36,7 +36,7 @@ def test_phoneme_to_sequence():
text = "Be a voice, not an! echo"
sequence = phoneme_to_sequence(text, text_cleaner, lang)
text_hat = sequence_to_phoneme(sequence)
- sequence_with_params = phoneme_to_sequence(text, text_cleaner, lang, tp=conf.characters)
+ _ = phoneme_to_sequence(text, text_cleaner, lang, tp=conf.characters)
text_hat_with_params = sequence_to_phoneme(sequence, tp=conf.characters)
gt = "biː ɐ vɔɪs, nɑːt ɐn! ɛkoʊ"
print(text_hat)
@@ -47,7 +47,7 @@ def test_phoneme_to_sequence():
text = "Be a voice, not an echo!"
sequence = phoneme_to_sequence(text, text_cleaner, lang)
text_hat = sequence_to_phoneme(sequence)
- sequence_with_params = phoneme_to_sequence(text, text_cleaner, lang, tp=conf.characters)
+ _ = phoneme_to_sequence(text, text_cleaner, lang, tp=conf.characters)
text_hat_with_params = sequence_to_phoneme(sequence, tp=conf.characters)
gt = "biː ɐ vɔɪs, nɑːt ɐn ɛkoʊ!"
print(text_hat)
@@ -58,7 +58,7 @@ def test_phoneme_to_sequence():
text = "Be a voice, not an! echo. "
sequence = phoneme_to_sequence(text, text_cleaner, lang)
text_hat = sequence_to_phoneme(sequence)
- sequence_with_params = phoneme_to_sequence(text, text_cleaner, lang, tp=conf.characters)
+ _ = phoneme_to_sequence(text, text_cleaner, lang, tp=conf.characters)
text_hat_with_params = sequence_to_phoneme(sequence, tp=conf.characters)
gt = "biː ɐ vɔɪs, nɑːt ɐn! ɛkoʊ."
print(text_hat)
@@ -69,7 +69,7 @@ def test_phoneme_to_sequence():
text = "Be a voice, not an! echo. "
sequence = phoneme_to_sequence(text, text_cleaner, lang, True)
text_hat = sequence_to_phoneme(sequence)
- sequence_with_params = phoneme_to_sequence(text, text_cleaner, lang, tp=conf.characters)
+ _ = phoneme_to_sequence(text, text_cleaner, lang, tp=conf.characters)
text_hat_with_params = sequence_to_phoneme(sequence, tp=conf.characters)
gt = "^biː ɐ vɔɪs, nɑːt ɐn! ɛkoʊ.~"
print(text_hat)
@@ -80,7 +80,7 @@ def test_phoneme_to_sequence():
text = "_Be a _voice, not an! echo_"
sequence = phoneme_to_sequence(text, text_cleaner, lang)
text_hat = sequence_to_phoneme(sequence)
- sequence_with_params = phoneme_to_sequence(text, text_cleaner, lang, tp=conf.characters)
+ _ = phoneme_to_sequence(text, text_cleaner, lang, tp=conf.characters)
text_hat_with_params = sequence_to_phoneme(sequence, tp=conf.characters)
gt = "biː ɐ vɔɪs, nɑːt ɐn! ɛkoʊ"
print(text_hat)
diff --git a/tests/test_train_tts.py b/tests/test_train_tts.py
new file mode 100644
index 00000000..e69de29b
diff --git a/tests/test_tts_train.sh b/tests/test_tts_train.sh
new file mode 100755
index 00000000..b7adbdd0
--- /dev/null
+++ b/tests/test_tts_train.sh
@@ -0,0 +1,13 @@
+#!/usr/bin/env bash
+
+BASEDIR=$(dirname "$0")
+echo "$BASEDIR"
+# run training
+CUDA_VISIBLE_DEVICES="" python mozilla_voice_tts/bin/train_tts.py --config_path $BASEDIR/inputs/test_train_config.json
+# find the training folder
+LATEST_FOLDER=$(ls $BASEDIR/train_outputs/| sort | tail -1)
+echo $LATEST_FOLDER
+# continue the previous training
+CUDA_VISIBLE_DEVICES="" python mozilla_voice_tts/bin/train_tts.py --continue_path $BASEDIR/train_outputs/$LATEST_FOLDER
+# remove all the outputs
+rm -rf $BASEDIR/train_outputs/
diff --git a/vocoder/tests/test_datasets.py b/tests/test_vocoder_datasets.py
similarity index 87%
rename from vocoder/tests/test_datasets.py
rename to tests/test_vocoder_datasets.py
index 43d0d3de..bdfebfc5 100644
--- a/vocoder/tests/test_datasets.py
+++ b/tests/test_vocoder_datasets.py
@@ -1,24 +1,24 @@
import os
+
import numpy as np
+from tests import get_tests_path, get_tests_input_path, get_tests_output_path
from torch.utils.data import DataLoader
-from TTS.vocoder.datasets.gan_dataset import GANDataset
-from TTS.vocoder.datasets.preprocess import load_wav_data
-from TTS.utils.audio import AudioProcessor
-from TTS.utils.io import load_config
-
+from mozilla_voice_tts.utils.audio import AudioProcessor
+from mozilla_voice_tts.utils.io import load_config
+from mozilla_voice_tts.vocoder.datasets.gan_dataset import GANDataset
+from mozilla_voice_tts.vocoder.datasets.preprocess import load_wav_data
file_path = os.path.dirname(os.path.realpath(__file__))
-OUTPATH = os.path.join(file_path, "../../tests/outputs/loader_tests/")
+OUTPATH = os.path.join(get_tests_output_path(), "loader_tests/")
os.makedirs(OUTPATH, exist_ok=True)
-C = load_config(os.path.join(file_path, 'test_config.json'))
+C = load_config(os.path.join(get_tests_input_path(), 'test_config.json'))
-test_data_path = os.path.join(file_path, "../../tests/data/ljspeech/")
+test_data_path = os.path.join(get_tests_path(), "data/ljspeech/")
ok_ljspeech = os.path.exists(test_data_path)
-
def gan_dataset_case(batch_size, seq_len, hop_len, conv_pad, return_segments, use_noise_augment, use_cache, num_workers):
''' run dataloader with given parameters and check conditions '''
ap = AudioProcessor(**C.audio)
diff --git a/vocoder/tests/test_losses.py b/tests/test_vocoder_losses.py
similarity index 81%
rename from vocoder/tests/test_losses.py
rename to tests/test_vocoder_losses.py
index 68e42e89..6cf0f6a9 100644
--- a/vocoder/tests/test_losses.py
+++ b/tests/test_vocoder_losses.py
@@ -1,11 +1,11 @@
import os
+
import torch
+from tests import get_tests_input_path, get_tests_output_path, get_tests_path
-from TTS.vocoder.layers.losses import TorchSTFT, STFTLoss, MultiScaleSTFTLoss
-
-from TTS.tests import get_tests_path, get_tests_input_path, get_tests_output_path
-from TTS.utils.audio import AudioProcessor
-from TTS.utils.io import load_config
+from mozilla_voice_tts.utils.audio import AudioProcessor
+from mozilla_voice_tts.utils.io import load_config
+from mozilla_voice_tts.vocoder.layers.losses import MultiScaleSTFTLoss, STFTLoss, TorchSTFT
TESTS_PATH = get_tests_path()
@@ -14,8 +14,7 @@ os.makedirs(OUT_PATH, exist_ok=True)
WAV_FILE = os.path.join(get_tests_input_path(), "example_1.wav")
-file_path = os.path.dirname(os.path.realpath(__file__))
-C = load_config(os.path.join(file_path, 'test_config.json'))
+C = load_config(os.path.join(get_tests_input_path(), 'test_config.json'))
ap = AudioProcessor(**C.audio)
@@ -53,9 +52,3 @@ def test_multiscale_stft_loss():
loss_m, loss_sc = stft_loss(wav, torch.rand_like(wav))
assert loss_sc < 1.0
assert loss_m + loss_sc > 0
-
-
-
-
-
-
diff --git a/vocoder/tests/test_melgan_discriminator.py b/tests/test_vocoder_melgan_discriminator.py
similarity index 72%
rename from vocoder/tests/test_melgan_discriminator.py
rename to tests/test_vocoder_melgan_discriminator.py
index a89dad5e..feafa60b 100644
--- a/vocoder/tests/test_melgan_discriminator.py
+++ b/tests/test_vocoder_melgan_discriminator.py
@@ -1,8 +1,8 @@
import numpy as np
import torch
-from TTS.vocoder.models.melgan_discriminator import MelganDiscriminator
-from TTS.vocoder.models.melgan_multiscale_discriminator import MelganMultiscaleDiscriminator
+from mozilla_voice_tts.vocoder.models.melgan_discriminator import MelganDiscriminator
+from mozilla_voice_tts.vocoder.models.melgan_multiscale_discriminator import MelganMultiscaleDiscriminator
def test_melgan_discriminator():
@@ -23,4 +23,4 @@ def test_melgan_multi_scale_discriminator():
assert np.all(scores[0].shape == (4, 1, 64))
assert np.all(feats[0][0].shape == (4, 16, 4096))
assert np.all(feats[0][1].shape == (4, 64, 1024))
- assert np.all(feats[0][2].shape == (4, 256, 256))
\ No newline at end of file
+ assert np.all(feats[0][2].shape == (4, 256, 256))
diff --git a/vocoder/tests/test_melgan_generator.py b/tests/test_vocoder_melgan_generator.py
similarity index 81%
rename from vocoder/tests/test_melgan_generator.py
rename to tests/test_vocoder_melgan_generator.py
index e03da31b..c9cf5e2d 100644
--- a/vocoder/tests/test_melgan_generator.py
+++ b/tests/test_vocoder_melgan_generator.py
@@ -1,7 +1,7 @@
import numpy as np
import torch
-from TTS.vocoder.models.melgan_generator import MelganGenerator
+from mozilla_voice_tts.vocoder.models.melgan_generator import MelganGenerator
def test_melgan_generator():
model = MelganGenerator()
@@ -11,4 +11,3 @@ def test_melgan_generator():
assert np.all(output.shape == (4, 1, 64 * 256))
output = model.inference(dummy_input)
assert np.all(output.shape == (4, 1, (64 + 4) * 256))
-
diff --git a/tests/test_vocoder_parallel_wavegan_discriminator.py b/tests/test_vocoder_parallel_wavegan_discriminator.py
new file mode 100644
index 00000000..ac0b5393
--- /dev/null
+++ b/tests/test_vocoder_parallel_wavegan_discriminator.py
@@ -0,0 +1,41 @@
+import numpy as np
+import torch
+
+from mozilla_voice_tts.vocoder.models.parallel_wavegan_discriminator import ParallelWaveganDiscriminator, ResidualParallelWaveganDiscriminator
+
+
+def test_pwgan_disciminator():
+ model = ParallelWaveganDiscriminator(
+ in_channels=1,
+ out_channels=1,
+ kernel_size=3,
+ num_layers=10,
+ conv_channels=64,
+ dilation_factor=1,
+ nonlinear_activation="LeakyReLU",
+ nonlinear_activation_params={"negative_slope": 0.2},
+ bias=True)
+ dummy_x = torch.rand((4, 1, 64 * 256))
+ output = model(dummy_x)
+ assert np.all(output.shape == (4, 1, 64 * 256))
+ model.remove_weight_norm()
+
+
+def test_redisual_pwgan_disciminator():
+ model = ResidualParallelWaveganDiscriminator(
+ in_channels=1,
+ out_channels=1,
+ kernel_size=3,
+ num_layers=30,
+ stacks=3,
+ res_channels=64,
+ gate_channels=128,
+ skip_channels=64,
+ dropout=0.0,
+ bias=True,
+ nonlinear_activation="LeakyReLU",
+ nonlinear_activation_params={"negative_slope": 0.2})
+ dummy_x = torch.rand((4, 1, 64 * 256))
+ output = model(dummy_x)
+ assert np.all(output.shape == (4, 1, 64 * 256))
+ model.remove_weight_norm()
diff --git a/tests/test_vocoder_parallel_wavegan_generator.py b/tests/test_vocoder_parallel_wavegan_generator.py
new file mode 100644
index 00000000..72af728f
--- /dev/null
+++ b/tests/test_vocoder_parallel_wavegan_generator.py
@@ -0,0 +1,27 @@
+import numpy as np
+import torch
+
+from mozilla_voice_tts.vocoder.models.parallel_wavegan_generator import ParallelWaveganGenerator
+
+
+def test_pwgan_generator():
+ model = ParallelWaveganGenerator(
+ in_channels=1,
+ out_channels=1,
+ kernel_size=3,
+ num_res_blocks=30,
+ stacks=3,
+ res_channels=64,
+ gate_channels=128,
+ skip_channels=64,
+ aux_channels=80,
+ dropout=0.0,
+ bias=True,
+ use_weight_norm=True,
+ upsample_factors=[4, 4, 4, 4])
+ dummy_c = torch.rand((2, 80, 5))
+ output = model(dummy_c)
+ assert np.all(output.shape == (2, 1, 5 * 256)), output.shape
+ model.remove_weight_norm()
+ output = model.inference(dummy_c)
+ assert np.all(output.shape == (2, 1, (5 + 4) * 256))
diff --git a/vocoder/tests/test_pqmf.py b/tests/test_vocoder_pqmf.py
similarity index 82%
rename from vocoder/tests/test_pqmf.py
rename to tests/test_vocoder_pqmf.py
index a26bdd59..485e2f2b 100644
--- a/vocoder/tests/test_pqmf.py
+++ b/tests/test_vocoder_pqmf.py
@@ -4,8 +4,8 @@ import torch
import soundfile as sf
from librosa.core import load
-from TTS.tests import get_tests_path, get_tests_input_path
-from TTS.vocoder.layers.pqmf import PQMF
+from tests import get_tests_path, get_tests_input_path
+from mozilla_voice_tts.vocoder.layers.pqmf import PQMF
TESTS_PATH = get_tests_path()
@@ -25,4 +25,3 @@ def test_pqmf():
print(w2_.min())
print(w2_.mean())
sf.write('pqmf_output.wav', w2_.flatten().detach(), sr)
-
diff --git a/vocoder/tests/test_rwd.py b/tests/test_vocoder_rwd.py
similarity index 88%
rename from vocoder/tests/test_rwd.py
rename to tests/test_vocoder_rwd.py
index 424d3b49..266415db 100644
--- a/vocoder/tests/test_rwd.py
+++ b/tests/test_vocoder_rwd.py
@@ -1,7 +1,7 @@
import torch
import numpy as np
-from TTS.vocoder.models.random_window_discriminator import RandomWindowDiscriminator
+from mozilla_voice_tts.vocoder.models.random_window_discriminator import RandomWindowDiscriminator
def test_rwd():
diff --git a/tests/test_vocoder_tf_melgan_generator.py b/tests/test_vocoder_tf_melgan_generator.py
new file mode 100644
index 00000000..5fdfc295
--- /dev/null
+++ b/tests/test_vocoder_tf_melgan_generator.py
@@ -0,0 +1,13 @@
+import numpy as np
+import tensorflow as tf
+
+from mozilla_voice_tts.vocoder.tf.models.melgan_generator import MelganGenerator
+
+
+def test_melgan_generator():
+ hop_length = 256
+ model = MelganGenerator()
+ # pylint: disable=no-value-for-parameter
+ dummy_input = tf.random.uniform((4, 80, 64))
+ output = model(dummy_input, training=False)
+ assert np.all(output.shape == (4, 1, 64 * hop_length)), output.shape
diff --git a/tests/test_vocoder_tf_pqmf.py b/tests/test_vocoder_tf_pqmf.py
new file mode 100644
index 00000000..851c0fb0
--- /dev/null
+++ b/tests/test_vocoder_tf_pqmf.py
@@ -0,0 +1,28 @@
+import os
+import tensorflow as tf
+
+import soundfile as sf
+from librosa.core import load
+
+from tests import get_tests_path, get_tests_input_path
+from mozilla_voice_tts.vocoder.tf.layers.pqmf import PQMF
+
+
+TESTS_PATH = get_tests_path()
+WAV_FILE = os.path.join(get_tests_input_path(), "example_1.wav")
+
+
+def test_pqmf():
+ w, sr = load(WAV_FILE)
+
+ layer = PQMF(N=4, taps=62, cutoff=0.15, beta=9.0)
+ w, sr = load(WAV_FILE)
+ w2 = tf.convert_to_tensor(w[None, None, :])
+ b2 = layer.analysis(w2)
+ w2_ = layer.synthesis(b2)
+ w2_ = w2.numpy()
+
+ print(w2_.max())
+ print(w2_.min())
+ print(w2_.mean())
+ sf.write('tf_pqmf_output.wav', w2_.flatten(), sr)
diff --git a/tests/test_vocoder_train.sh b/tests/test_vocoder_train.sh
new file mode 100755
index 00000000..6be7177d
--- /dev/null
+++ b/tests/test_vocoder_train.sh
@@ -0,0 +1,15 @@
+#!/usr/bin/env bash
+
+BASEDIR=$(dirname "$0")
+echo "$BASEDIR"
+# create run dir
+mkdir $BASEDIR/train_outputs
+# run training
+CUDA_VISIBLE_DEVICES="" python mozilla_voice_tts/bin/train_vocoder.py --config_path $BASEDIR/inputs/test_vocoder_multiband_melgan_config.json
+# find the training folder
+LATEST_FOLDER=$(ls $BASEDIR/outputs/train_outputs/| sort | tail -1)
+echo $LATEST_FOLDER
+# continue the previous training
+CUDA_VISIBLE_DEVICES="" python mozilla_voice_tts/bin/train_vocoder.py --continue_path $BASEDIR/outputs/train_outputs/$LATEST_FOLDER
+# remove all the outputs
+rm -rf $BASEDIR/train_outputs/
diff --git a/tf/notebooks/Benchmark-TTS_tf.ipynb b/tf/notebooks/Benchmark-TTS_tf.ipynb
deleted file mode 100644
index 4a21ae17..00000000
--- a/tf/notebooks/Benchmark-TTS_tf.ipynb
+++ /dev/null
@@ -1,714 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {
- "Collapsed": "false"
- },
- "source": [
- "This is to test TTS tensorflow models with benchmark sentences.\n",
- "\n",
- "Before running this script please DON'T FORGET: \n",
- "- to set file paths.\n",
- "- to download related models.\n",
- " - Sample TF model: https://www.dropbox.com/sh/3b1fat5oxqab6yn/AADDlNs-9-r7ASbVnFYx3RHHa?dl=0\n",
- "- download or clone related repos, linked below.\n",
- "- setup the repositories. ```python setup.py install```\n",
- "- to checkout right commit versions (given next to the model in the models page).\n",
- "- to set the file paths below.\n",
- "\n",
- "Repositories:\n",
- "- TTS: https://github.com/mozilla/TTS\n",
- "- PWGAN: https://github.com/erogol/ParallelWaveGAN (if you like to use a vocoder model)\n",
- "\n",
- "Known Issues:\n",
- "- To load the model second time you need to restart the notebook kernel. \n",
- "- Some of the advance methods are not yet implemented for Tensorflow."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false",
- "scrolled": true
- },
- "outputs": [],
- "source": [
- "%load_ext autoreload\n",
- "%autoreload 2\n",
- "import os\n",
- "\n",
- "# you may need to change this depending on your system\n",
- "os.environ['CUDA_VISIBLE_DEVICES']='1'\n",
- "\n",
- "import sys\n",
- "import io\n",
- "import torch \n",
- "import tensorflow as tf\n",
- "print(tf.config.list_physical_devices('GPU'))\n",
- "\n",
- "import time\n",
- "import json\n",
- "import yaml\n",
- "import numpy as np\n",
- "from collections import OrderedDict\n",
- "import matplotlib.pyplot as plt\n",
- "plt.rcParams[\"figure.figsize\"] = (16,5)\n",
- "\n",
- "import librosa\n",
- "import librosa.display\n",
- "\n",
- "from TTS.tf.models.tacotron2 import Tacotron2\n",
- "from TTS.tf.utils.generic_utils import setup_model, load_checkpoint\n",
- "from TTS.utils.audio import AudioProcessor\n",
- "from TTS.utils.io import load_config\n",
- "from TTS.utils.synthesis import synthesis\n",
- "from TTS.utils.visual import visualize\n",
- "\n",
- "import IPython\n",
- "from IPython.display import Audio\n",
- "\n",
- "%matplotlib inline"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "def tts(model, text, CONFIG, use_cuda, ap, use_gl, figures=True):\n",
- " t_1 = time.time()\n",
- " waveform, alignment, mel_spec, mel_postnet_spec, stop_tokens, inputs = synthesis(model, text, CONFIG, use_cuda, ap, None, None, False, CONFIG.enable_eos_bos_chars, use_gl, backend=BACKEND)\n",
- " if CONFIG.model == \"Tacotron\" and not use_gl:\n",
- " # coorect the normalization differences b/w TTS and the Vocoder.\n",
- " mel_postnet_spec = ap.out_linear_to_mel(mel_postnet_spec.T).T\n",
- " print(mel_postnet_spec.shape)\n",
- " print(\"max- \", mel_postnet_spec.max(), \" -- min- \", mel_postnet_spec.min())\n",
- " if not use_gl:\n",
- " waveform = vocoder_model.inference(torch.FloatTensor(mel_postnet_spec.T).unsqueeze(0))\n",
- " mel_postnet_spec = ap._denormalize(mel_postnet_spec.T).T\n",
- " if use_cuda and not use_gl:\n",
- " waveform = waveform.cpu()\n",
- " waveform = waveform.numpy()\n",
- " waveform = waveform.squeeze()\n",
- " rtf = (time.time() - t_1) / (len(waveform) / ap.sample_rate)\n",
- " print(waveform.shape)\n",
- " print(\" > Run-time: {}\".format(time.time() - t_1))\n",
- " print(\" > Real-time factor: {}\".format(rtf))\n",
- " if figures: \n",
- " visualize(alignment, mel_postnet_spec, stop_tokens, text, ap.hop_length, CONFIG, ap._denormalize(mel_spec.T).T) \n",
- " IPython.display.display(Audio(waveform, rate=CONFIG.audio['sample_rate'], normalize=True)) \n",
- " os.makedirs(OUT_FOLDER, exist_ok=True)\n",
- " file_name = text.replace(\" \", \"_\").replace(\".\",\"\") + \".wav\"\n",
- " out_path = os.path.join(OUT_FOLDER, file_name)\n",
- " ap.save_wav(waveform, out_path)\n",
- " return alignment, mel_postnet_spec, stop_tokens, waveform"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# Set constants\n",
- "ROOT_PATH = '../torch_model/'\n",
- "MODEL_PATH = ROOT_PATH + '/tts_tf_checkpoint_360000.pkl'\n",
- "CONFIG_PATH = ROOT_PATH + '/config.json'\n",
- "OUT_FOLDER = '/home/erogol/Dropbox/AudioSamples/benchmark_samples/'\n",
- "CONFIG = load_config(CONFIG_PATH)\n",
- "# Run FLAGs\n",
- "use_cuda = True # use the available GPU (only for torch)\n",
- "# Set the vocoder\n",
- "use_gl = True # use GL if True\n",
- "BACKEND = 'tf' # set the backend for inference "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false",
- "scrolled": true
- },
- "outputs": [],
- "source": [
- "from TTS.utils.text.symbols import symbols, phonemes, make_symbols\n",
- "from TTS.tf.utils.convert_torch_to_tf_utils import tf_create_dummy_inputs\n",
- "c = CONFIG\n",
- "num_speakers = 0\n",
- "r = 1\n",
- "num_chars = len(phonemes) if c.use_phonemes else len(symbols)\n",
- "model = setup_model(num_chars, num_speakers, c)\n",
- "\n",
- "# before loading weights you need to run the model once to generate the variables\n",
- "input_ids, input_lengths, mel_outputs, mel_lengths = tf_create_dummy_inputs()\n",
- "mel_pred = model(input_ids, training=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false",
- "scrolled": true
- },
- "outputs": [],
- "source": [
- "model = load_checkpoint(model, MODEL_PATH)\n",
- "# model = tf.function(model, experimental_relax_shapes=True)\n",
- "ap = AudioProcessor(**CONFIG.audio) "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# wrapper class to use tf.function\n",
- "class ModelInference(tf.keras.Model):\n",
- " def __init__(self, model):\n",
- " super(ModelInference, self).__init__()\n",
- " self.model = model\n",
- " \n",
- " @tf.function(input_signature=[tf.TensorSpec(shape=(None, None), dtype=tf.int32)])\n",
- " def call(self, characters):\n",
- " return self.model(characters, training=False)\n",
- " \n",
- "model = ModelInference(model)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# LOAD WAVERNN\n",
- "if use_gl == False:\n",
- " from parallel_wavegan.models import ParallelWaveGANGenerator, MelGANGenerator\n",
- " \n",
- " vocoder_model = MelGANGenerator(**VOCODER_CONFIG[\"generator_params\"])\n",
- " vocoder_model.load_state_dict(torch.load(VOCODER_MODEL_PATH, map_location=\"cpu\")[\"model\"][\"generator\"])\n",
- " vocoder_model.remove_weight_norm()\n",
- " ap_vocoder = AudioProcessor(**VOCODER_CONFIG['audio']) \n",
- " if use_cuda:\n",
- " vocoder_model.cuda()\n",
- " vocoder_model.eval();\n",
- " print(count_parameters(vocoder_model))"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "Collapsed": "false"
- },
- "source": [
- "### Comparision with https://mycroft.ai/blog/available-voices/"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "sentence = \"Bill got in the habit of asking himself “Is that thought true?” and if he wasn’t absolutely certain it was, he just let it go.\"\n",
- "align, spec, stop_tokens, wav = tts(model, sentence, CONFIG, use_cuda, ap, use_gl=use_gl, figures=True)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "Collapsed": "false"
- },
- "source": [
- "### https://espnet.github.io/icassp2020-tts/"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "sentence = \"The Commission also recommends\"\n",
- "align, spec, stop_tokens, wav = tts(model, sentence, CONFIG, use_cuda, ap, use_gl=use_gl, figures=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "sentence = \"As a result of these studies, the planning document submitted by the Secretary of the Treasury to the Bureau of the Budget on August thirty-one.\"\n",
- "align, spec, stop_tokens, wav = tts(model, sentence, CONFIG, use_cuda, ap, use_gl=use_gl, figures=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "sentence = \"The FBI now transmits information on all defectors, a category which would, of course, have included Oswald.\"\n",
- "align, spec, stop_tokens, wav = tts(model, sentence, CONFIG, use_cuda, ap, use_gl=use_gl, figures=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "sentence = \"they seem unduly restrictive in continuing to require some manifestation of animus against a Government official.\"\n",
- "align, spec, stop_tokens, wav = tts(model, sentence, CONFIG, use_cuda, ap, use_gl=use_gl, figures=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "sentence = \"and each agency given clear understanding of the assistance which the Secret Service expects.\"\n",
- "align, spec, stop_tokens, wav = tts(model, sentence, CONFIG, use_cuda, ap, use_gl=use_gl, figures=True)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "Collapsed": "false"
- },
- "source": [
- "### Other examples"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "sentence = \"Be a voice, not an echo.\" # 'echo' is not in training set. \n",
- "align, spec, stop_tokens, wav = tts(model, sentence, CONFIG, use_cuda, ap, use_gl=use_gl, figures=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "sentence = \"It took me quite a long time to develop a voice, and now that I have it I'm not going to be silent.\"\n",
- "align, spec, stop_tokens, wav = tts(model, sentence, CONFIG, use_cuda, ap, use_gl=use_gl, figures=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "sentence = \"The human voice is the most perfect instrument of all.\"\n",
- "align, spec, stop_tokens, wav = tts(model, sentence, CONFIG, use_cuda, ap, use_gl=use_gl, figures=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "sentence = \"I'm sorry Dave. I'm afraid I can't do that.\"\n",
- "align, spec, stop_tokens, wav = tts(model, sentence, CONFIG, use_cuda, ap, use_gl=use_gl, figures=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "sentence = \"This cake is great. It's so delicious and moist.\"\n",
- "align, spec, stop_tokens, wav = tts(model, sentence, CONFIG, use_cuda, ap, use_gl=use_gl, figures=True)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "Collapsed": "false"
- },
- "source": [
- "### Comparison with https://keithito.github.io/audio-samples/"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "sentence = \"Generative adversarial network or variational auto-encoder.\"\n",
- "align, spec, stop_tokens, wav = tts(model, sentence, CONFIG, use_cuda, ap, use_gl=use_gl, figures=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "sentence = \"Scientists at the CERN laboratory say they have discovered a new particle.\"\n",
- "align, spec, stop_tokens, wav = tts(model, sentence, CONFIG, use_cuda, ap, use_gl=use_gl, figures=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "sentence = \"Here’s a way to measure the acute emotional intelligence that has never gone out of style.\"\n",
- "align, spec, stop_tokens, wav = tts(model, sentence, CONFIG, use_cuda, ap, use_gl=use_gl, figures=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "sentence = \"President Trump met with other leaders at the Group of 20 conference.\"\n",
- "align, spec, stop_tokens, wav = tts(model, sentence, CONFIG, use_cuda, ap, use_gl=use_gl, figures=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "sentence = \"The buses aren't the problem, they actually provide a solution.\"\n",
- "align, spec, stop_tokens, wav = tts(model, sentence, CONFIG, use_cuda, ap, use_gl=use_gl, figures=True)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "Collapsed": "false"
- },
- "source": [
- "### Comparison with https://google.github.io/tacotron/publications/tacotron/index.html"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "sentence = \"Generative adversarial network or variational auto-encoder.\"\n",
- "align, spec, stop_tokens, wav = tts(model, sentence, CONFIG, use_cuda, ap, use_gl=use_gl, figures=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "sentence = \"Basilar membrane and otolaryngology are not auto-correlations.\"\n",
- "align, spec, stop_tokens, wav = tts(model, sentence, CONFIG, use_cuda, ap, use_gl=use_gl, figures=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "sentence = \" He has read the whole thing.\"\n",
- "align, spec, stop_tokens, wav = tts(model, sentence, CONFIG, use_cuda, ap, use_gl=use_gl, figures=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "sentence = \"He reads books.\"\n",
- "align, spec, stop_tokens, wav = tts(model, sentence, CONFIG, use_cuda, ap, use_gl=use_gl, figures=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "sentence = \"Thisss isrealy awhsome.\"\n",
- "align, spec, stop_tokens, wav = tts(model, sentence, CONFIG, use_cuda, ap, use_gl=use_gl, figures=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "sentence = \"This is your internet browser, Firefox.\"\n",
- "align, spec, stop_tokens, wav = tts(model, sentence, CONFIG, use_cuda, ap, use_gl=use_gl, figures=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "sentence = \"This is your internet browser Firefox.\"\n",
- "align, spec, stop_tokens, wav = tts(model, sentence, CONFIG, use_cuda, ap, use_gl=use_gl, figures=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "sentence = \"The quick brown fox jumps over the lazy dog.\"\n",
- "align, spec, stop_tokens, wav = tts(model, sentence, CONFIG, use_cuda, ap, use_gl=use_gl, figures=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "sentence = \"Does the quick brown fox jump over the lazy dog?\"\n",
- "align, spec, stop_tokens, wav = tts(model, sentence, CONFIG, use_cuda, ap, use_gl=use_gl, figures=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "sentence = \"Eren, how are you?\"\n",
- "align, spec, stop_tokens, wav = tts(model, sentence, CONFIG, use_cuda, ap, use_gl=use_gl, figures=True)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "Collapsed": "false"
- },
- "source": [
- "### Hard Sentences"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "sentence = \"Encouraged, he started with a minute a day.\"\n",
- "align, spec, stop_tokens, wav = tts(model, sentence, CONFIG, use_cuda, ap, use_gl=use_gl, figures=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "sentence = \"His meditation consisted of “body scanning” which involved focusing his mind and energy on each section of the body from head to toe .\"\n",
- "align, spec, stop_tokens, wav = tts(model, sentence, CONFIG, use_cuda, ap, use_gl=use_gl, figures=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "sentence = \"Recent research at Harvard has shown meditating for as little as 8 weeks can actually increase the grey matter in the parts of the brain responsible for emotional regulation and learning . \"\n",
- "align, spec, stop_tokens, wav = tts(model, sentence, CONFIG, use_cuda, ap, use_gl=use_gl, figures=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "sentence = \"If he decided to watch TV he really watched it.\"\n",
- "align, spec, stop_tokens, wav = tts(model, sentence, CONFIG, use_cuda, ap, use_gl=use_gl, figures=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "sentence = \"Often we try to bring about change through sheer effort and we put all of our energy into a new initiative .\"\n",
- "align, spec, stop_tokens, wav = tts(model, sentence, CONFIG, use_cuda, ap, use_gl=use_gl, figures=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# for twb dataset\n",
- "sentence = \"In our preparation for Easter, God in his providence offers us each year the season of Lent as a sacramental sign of our conversion.\"\n",
- "align, spec, stop_tokens, wav = tts(model, sentence, CONFIG, use_cuda, ap, use_gl=use_gl, figures=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "wavs = []\n",
- "model.eval()\n",
- "model.decoder.prenet.eval()\n",
- "model.decoder.max_decoder_steps = 2000\n",
- "# model.decoder.prenet.train()\n",
- "speaker_id = None\n",
- "sentence = '''This is App Store Optimization report.\n",
- "The first tab on the report is App Details. App details report is updated weekly and Datetime column shows the latest report update date. The widget displays the app icon, respective app version, visual assets on the store, app description, latest app update date on the Appstore/Google PlayStore and what’s new section.\n",
- "In App Details tab, you can see not only your app but all Delivery Hero apps since we think it can be inspiring to see the other apps, their description and screenshots. \n",
- "Product name is the actual app name on the AppStore or Google Play Store.\n",
- "Screenshot URLs column display the actual screenshots on the store for the current version. No resizing is done. If you click on the screenshot, you can see it in full-size.\n",
- "Current release date show the latest app update date when the query is run. Here we see that Appetito24 Android is updated to app version 4.6.3.2 on 28th of March.\n",
- "If the description is too long, clarisights is not able to display the full description; however, if you select description and current_release_date cells to copy and paste it to a text editor, you'll see the full description.\n",
- "If you scroll down in the widget, you can see the older app versions for the same apps. Or you can filter Datetime to see a specific timeframe and the apps’ Store presence back then.\n",
- "You can also filter for a specific app using Product Name.\n",
- "If the description is too long, clarisights is not able to display the full description; however, if you select description and current_release_date cells to copy and paste it to a text editor, you'll see the full description.\n",
- "'''\n",
- "\n",
- "for s in sentence.split('\\n'):\n",
- " print(s)\n",
- " align, spec, stop_tokens, wav = tts(model, s, CONFIG, use_cuda, ap, use_gl=use_gl, figures=True)\n",
- " wavs = np.concatenate([wavs, np.zeros(int(ap.sample_rate * 0.5)), wav])"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": []
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.7.4"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/tf/tests/__init__.py b/tf/tests/__init__.py
deleted file mode 100644
index 8b137891..00000000
--- a/tf/tests/__init__.py
+++ /dev/null
@@ -1 +0,0 @@
-
diff --git a/tts_namespace/README.md b/tts_namespace/README.md
deleted file mode 100644
index c5b2ddbf..00000000
--- a/tts_namespace/README.md
+++ /dev/null
@@ -1,29 +0,0 @@
-This folder contains a symlink called TTS to the parent folder:
-
- lrwxr-xr-x TTS -> ..
-
-This is used to appease the distribute/setuptools gods. When the project was
-initially set up, the repository folder itself was considered a namespace, and
-development was done with `sys.path` hacks. This means if you tried to install
-TTS, `setup.py` would see the packages `models`, `utils`, `layers`... instead of
- `TTS.models`, `TTS.utils`...
-
-Installing TTS would then pollute the package namespace with generic names like
-those above. In order to make things installable in both install and development
-modes (`pip install /path/to/TTS` and `pip install -e /path/to/TTS`), we needed
-to add an additional 'TTS' namespace to avoid this pollution. A virtual redirect
-using `packages_dir` in `setup.py` is not enough because it breaks the editable
-installation, which can only handle the simplest of `package_dir` redirects.
-
-Our solution is to use a symlink in order to add the extra `TTS` namespace. In
-`setup.py`, we only look for packages inside `tts_namespace` (this folder),
-which contains a symlink called TTS pointing to the repository root. The final
-result is that `setuptools.find_packages` will find `TTS.models`, `TTS.utils`...
-
-With this hack, `pip install -e` will then add a symlink to the `tts_namespace`
-in your `site-packages` folder, which works properly. It's important not to add
-anything else in this folder because it will pollute the package namespace when
-installing the project.
-
-This does not work if you check out your project on a filesystem that does not
-support symlinks.
\ No newline at end of file
diff --git a/tts_namespace/TTS b/tts_namespace/TTS
deleted file mode 120000
index a96aa0ea..00000000
--- a/tts_namespace/TTS
+++ /dev/null
@@ -1 +0,0 @@
-..
\ No newline at end of file
diff --git a/utils/.generic_utils.py.swo b/utils/.generic_utils.py.swo
deleted file mode 100644
index ab1b3870..00000000
Binary files a/utils/.generic_utils.py.swo and /dev/null differ
diff --git a/utils/.model.py.swp b/utils/.model.py.swp
deleted file mode 100644
index 24a8152e..00000000
Binary files a/utils/.model.py.swp and /dev/null differ
diff --git a/utils/console_logger.py b/utils/console_logger.py
deleted file mode 100644
index 85d5b376..00000000
--- a/utils/console_logger.py
+++ /dev/null
@@ -1,95 +0,0 @@
-import datetime
-from TTS.utils.io import AttrDict
-
-
-tcolors = AttrDict({
- 'OKBLUE': '\033[94m',
- 'HEADER': '\033[95m',
- 'OKGREEN': '\033[92m',
- 'WARNING': '\033[93m',
- 'FAIL': '\033[91m',
- 'ENDC': '\033[0m',
- 'BOLD': '\033[1m',
- 'UNDERLINE': '\033[4m'
-})
-
-
-class ConsoleLogger():
- def __init__(self):
- # TODO: color code for value changes
- # use these to compare values between iterations
- self.old_train_loss_dict = None
- self.old_epoch_loss_dict = None
- self.old_eval_loss_dict = None
-
- # pylint: disable=no-self-use
- def get_time(self):
- now = datetime.datetime.now()
- return now.strftime("%Y-%m-%d %H:%M:%S")
-
- def print_epoch_start(self, epoch, max_epoch):
- print("\n{}{} > EPOCH: {}/{}{}".format(tcolors.UNDERLINE, tcolors.BOLD,
- epoch, max_epoch, tcolors.ENDC),
- flush=True)
-
- def print_train_start(self):
- print(f"\n{tcolors.BOLD} > TRAINING ({self.get_time()}) {tcolors.ENDC}")
-
- def print_train_step(self, batch_steps, step, global_step, avg_spec_length,
- avg_text_length, step_time, loader_time, lr,
- loss_dict, avg_loss_dict):
- indent = " | > "
- print()
- log_text = "{} --> STEP: {}/{} -- GLOBAL_STEP: {}{}\n".format(
- tcolors.BOLD, step, batch_steps, global_step, tcolors.ENDC)
- for key, value in loss_dict.items():
- # print the avg value if given
- if f'avg_{key}' in avg_loss_dict.keys():
- log_text += "{}{}: {:.5f} ({:.5f})\n".format(indent, key, value, avg_loss_dict[f'avg_{key}'])
- else:
- log_text += "{}{}: {:.5f} \n".format(indent, key, value)
- log_text += f"{indent}avg_spec_len: {avg_spec_length}\n{indent}avg_text_len: {avg_text_length}\n{indent}"\
- f"step_time: {step_time:.2f}\n{indent}loader_time: {loader_time:.2f}\n{indent}lr: {lr:.5f}"
- print(log_text, flush=True)
-
- # pylint: disable=unused-argument
- def print_train_epoch_end(self, global_step, epoch, epoch_time,
- print_dict):
- indent = " | > "
- log_text = f"\n{tcolors.BOLD} --> TRAIN PERFORMACE -- EPOCH TIME: {epoch_time:.2f} sec -- GLOBAL_STEP: {global_step}{tcolors.ENDC}\n"
- for key, value in print_dict.items():
- log_text += "{}{}: {:.5f}\n".format(indent, key, value)
- print(log_text, flush=True)
-
- def print_eval_start(self):
- print(f"{tcolors.BOLD} > EVALUATION {tcolors.ENDC}\n")
-
- def print_eval_step(self, step, loss_dict, avg_loss_dict):
- indent = " | > "
- print()
- log_text = f"{tcolors.BOLD} --> STEP: {step}{tcolors.ENDC}\n"
- for key, value in loss_dict.items():
- # print the avg value if given
- if f'avg_{key}' in avg_loss_dict.keys():
- log_text += "{}{}: {:.5f} ({:.5f})\n".format(indent, key, value, avg_loss_dict[f'avg_{key}'])
- else:
- log_text += "{}{}: {:.5f} \n".format(indent, key, value)
- print(log_text, flush=True)
-
- def print_epoch_end(self, epoch, avg_loss_dict):
- indent = " | > "
- log_text = " {}--> EVAL PERFORMANCE{}\n".format(
- tcolors.BOLD, tcolors.ENDC)
- for key, value in avg_loss_dict.items():
- # print the avg value if given
- color = tcolors.FAIL
- sign = '+'
- diff = 0
- if self.old_eval_loss_dict is not None:
- diff = value - self.old_eval_loss_dict[key]
- if diff <= 0:
- color = tcolors.OKGREEN
- sign = ''
- log_text += "{}{}:{} {:.5f} {}({}{:.5f})\n".format(indent, key, color, value, tcolors.ENDC, sign, diff)
- self.old_eval_loss_dict = avg_loss_dict
- print(log_text, flush=True)
diff --git a/vocoder/README.md b/vocoder/README.md
deleted file mode 100644
index e3baf1f9..00000000
--- a/vocoder/README.md
+++ /dev/null
@@ -1,38 +0,0 @@
-# Mozilla TTS Vocoders (Experimental)
-
-We provide here different vocoder implementations which can be combined with our TTS models to enable "FASTER THAN REAL-TIME" end-to-end TTS stack.
-
-Currently, there are implementations of the following models.
-
-- Melgan
-- MultiBand-Melgan
-- GAN-TTS (Discriminator Only)
-
-It is also very easy to adapt different vocoder models as we provide here a flexible and modular (but not too modular) framework.
-
-## Training a model
-
-You can see here an example (Soon)[Colab Notebook]() training MelGAN with LJSpeech dataset.
-
-In order to train a new model, you need to collecto all your wav files under a common parent folder and give this path to `data_path` field in '''config.json'''
-
-You need to define other relevant parameters in your ```config.json``` and then start traning with the following command from Mozilla TTS root path, where '0' is the Id of the GPU you wish to use.
-
-```CUDA_VISIBLE_DEVICES='0' python vocoder/train.py --config_path path/to/config.json```
-
-Exampled config files can be found under `vocoder/configs/` folder.
-
-You can continue a previous training by the following command.
-
-```CUDA_VISIBLE_DEVICES='0' python vocoder/train.py --continue_path path/to/your/model/folder```
-
-You can fine-tune a pre-trained model by the following command.
-
-```CUDA_VISIBLE_DEVICES='0' python vocoder/train.py --restore_path path/to/your/model.pth.tar```
-
-Restoring a model starts a new training in a different output folder. It only restores model weights with the given checkpoint file. However, continuing a training starts from the same conditions the previous training run left off.
-
-You can also follow your training runs on Tensorboard as you do with our TTS models.
-
-## Acknowledgement
-Thanks to @kan-bayashi for his [repository](https://github.com/kan-bayashi/ParallelWaveGAN) being the start point of our work.
diff --git a/vocoder/notebooks/Untitled.ipynb b/vocoder/notebooks/Untitled.ipynb
deleted file mode 100644
index ce49d6fa..00000000
--- a/vocoder/notebooks/Untitled.ipynb
+++ /dev/null
@@ -1,678 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "code",
- "execution_count": 1,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "#function example with several unknowns (variables) for optimization\n",
- "#Gerald Schuller, Nov. 2016\n",
- "import numpy as np\n",
- "\n",
- "def functionexamp(x):\n",
- " #x: array with 2 variables\n",
- " \n",
- " y=np.sin(x[0])+np.cos(x[1])\n",
- " return y"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " fun: -1.9999999999888387\n",
- " jac: array([4.7236681e-06, 0.0000000e+00])\n",
- " message: 'Optimization terminated successfully.'\n",
- " nfev: 12\n",
- " nit: 2\n",
- " njev: 3\n",
- " status: 0\n",
- " success: True\n",
- " x: array([-1.5707916 , -3.14159265])\n"
- ]
- }
- ],
- "source": [
- "#Optimization example, see also:\n",
- "#https://docs.scipy.org/doc/scipy-0.18.1/reference/optimize.html\n",
- "#Gerald Schuller, Nov. 2016\n",
- "#run it with \"python optimizationExample.py\" in a termina shell\n",
- "#or type \"ipython\" in a termina shell and copy lines below:\n",
- "\n",
- "import numpy as np\n",
- "import scipy.optimize as optimize\n",
- "\n",
- "#Example for 2 unknowns, args: function-name, starting point, method:\n",
- "xmin = optimize.minimize(functionexamp, [-1.0, -3.0], method='CG')\n",
- "print(xmin)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "function [p,passedge] = opt_filter(filtorder,N)\n",
- "\n",
- "% opt_filter Create Lowpass Prototype Filter for the Pseudo-QMF \n",
- "% Filter Bank with N Subbands\n",
- "%\n",
- "% Adapted from the paper by C. D. Creusere and S. K. Mitra, titled \n",
- "% \"A simple method for designing high-quality prototype filters for \n",
- "% M-band pseudo-QMF banks,\" IEEE Trans. Signal Processing,vol. 43, \n",
- "% pp. 1005-1007, Apr. 1995 and the book by S. K. Mitra titled \"\n",
- "% Digital Signal Processing: A Computer-Based Approach, McGraw-Hill, 2001\n",
- "%\n",
- "% Arguments:\n",
- "% filtorder Filter order (i.e., filter length - 1)\n",
- "% N Number of subbands\n",
- "\n",
- "stopedge = 1/N; % Stopband edge fixed at (1/N)pi\n",
- "passedge = 1/(4*N); % Start value for passband edge\n",
- "tol = 0.000001; % Tolerance\n",
- "step = 0.1*passedge; % Step size for searching the passband edge\n",
- "way = -1; % Search direction, increase or reduce the passband edge\n",
- "tcost = 0; % Current error calculated with the cost function\n",
- "pcost = 10; % Previous error calculated with the cost function\n",
- "flag = 0; % Set to 1 to stop the search\n",
- "\n",
- "while flag == 0\n",
- " \n",
- "% Design the lowpass filter using Parks-McClellan algorithm\n",
- " \n",
- " p = remez(filtorder,[0,passedge,stopedge,1],[1,1,0,0],[5,1]);\n",
- " \n",
- "% Calculates the cost function according to Eq. (2.36)\n",
- "\n",
- " P = fft(p,4096);\n",
- " OptRange = floor(2048/N); % 0 to pi/N\n",
- " phi = zeros(OptRange,1); % Initialize to zeros\n",
- "\n",
- "% Compute the flatness in the range from 0 to pi/N\n",
- "\n",
- "\tfor k = 1:OptRange\n",
- " phi(k) = abs(P(OptRange-k+2))^2 + abs(P(k))^2;\n",
- "\tend\n",
- "\ttcost = max(abs(phi - ones(max(size(phi)),1)));\n",
- " \t\n",
- "\tif tcost > pcost % If search in wrong direction\n",
- "\t\tstep = step/2; % Reduce step size by half \n",
- "\t\tway = -way; % Change the search direction \n",
- "\tend\n",
- "\t\n",
- "\tif abs(pcost - tcost) < tol % If improvement is below tol \n",
- "\t\tflag = 1; % Stop the search \n",
- "\tend\n",
- "\t\n",
- "\tpcost = tcost;\n",
- "\tpassedge = passedge + way*step; % Adjust the passband edge\n",
- " \n",
- "end"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "sig.remez"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 101,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "0.0125"
- ]
- },
- "execution_count": 101,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "1 / 4. / 20.0"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 90,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "ename": "ValueError",
- "evalue": "Band edges should be less than 1/2 the sampling frequency",
- "output_type": "error",
- "traceback": [
- "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
- "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
- "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mremez\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m64\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m16.0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m4.0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
- "\u001b[0;32m~/miniconda3/lib/python3.7/site-packages/scipy/signal/fir_filter_design.py\u001b[0m in \u001b[0;36mremez\u001b[0;34m(numtaps, bands, desired, weight, Hz, type, maxiter, grid_density, fs)\u001b[0m\n\u001b[1;32m 854\u001b[0m \u001b[0mbands\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0masarray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbands\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 855\u001b[0m return sigtools._remez(numtaps, bands, desired, weight, tnum, fs,\n\u001b[0;32m--> 856\u001b[0;31m maxiter, grid_density)\n\u001b[0m\u001b[1;32m 857\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 858\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
- "\u001b[0;31mValueError\u001b[0m: Band edges should be less than 1/2 the sampling frequency"
- ]
- }
- ],
- "source": [
- "p = sig.remez(65, [0, 1/16.0, 1/4.0, 1], [1, 0], [5, 1])\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "def create_pqmf_filter(filter_len=64, N=4):\n",
- " stop_edge = 1 / N\n",
- " pass_edge = 1 / (4 * N)\n",
- " tol = 1e-8\n",
- " cutoff = 0.1 * pass_edge\n",
- " cost = 0\n",
- " cost_prev = float('inf')\n",
- " \n",
- " p = sig.remez(filter_len, [0, pass_edge, stop_edge, 1], [1, 1, 0, 0], [5, 1])\n",
- " \n",
- " P = sig.freqz(p, workN=2048)\n",
- " opt_range = 2048 // N\n",
- " phi = np.zeros(opt_range)\n",
- " \n",
- " H = np.abs(P)\n",
- " phi = H[opt_range + 2] \n",
- " for i in range(opt_range):\n",
- " phi[i] = abs(P(opt_range - i + 2)) ** 2 + abs(P[i]) ** 2"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 81,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "import numpy as np\n",
- "import scipy as sp\n",
- "import scipy.signal as sig\n",
- "import matplotlib.pyplot as plt\n",
- "%matplotlib inline\n",
- "\n",
- "\n",
- "def optimfuncQMF(x):\n",
- " \"\"\"Optimization function for a PQMF Filterbank\n",
- " x: coefficients to optimize (first half of prototype h because of symmetry)\n",
- " err: resulting total error\n",
- " \"\"\"\n",
- " K = ntaps * N \n",
- " h = np.append(x, np.flipud(x))\n",
- " cutoff = 0.15\n",
- " \n",
- "# breakpoint()\n",
- " f, H_im = sig.freqz(h, worN=K)\n",
- " H = np.abs(H_im) #only keeping the real part\n",
- " \n",
- " posfreq = np.square(H[0:K//N])\n",
- " \n",
- " #Negative frequencies are symmetric around 0:\n",
- " negfreq = np.flipud(np.square(H[0:K//N]))\n",
- " \n",
- " #Sum of magnitude squared frequency responses should be closed to unity (or N)\n",
- " unitycond = np.sum(np.abs(posfreq + negfreq - 2*(N*N)*np.ones(K//N)))/K\n",
- " \n",
- " #plt.plot(posfreq+negfreq)\n",
- " \n",
- " #High attenuation after the next subband:\n",
- " att = np.sum(np.abs(H[int(cutoff*K//N):]))/K\n",
- " \n",
- " #Total (weighted) error:\n",
- " err = unitycond + 100*att\n",
- " return err"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 85,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "(32,)"
- ]
- },
- "execution_count": 85,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "xmin.shape"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 86,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "8.684549400499243\n"
- ]
- },
- {
- "data": {
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\n",
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MsRsYY9sYY9u6uroaeq5VET+Oz6Qaeg6FQqFYSixV4TAEoF/6v0/b1hR6Wn0YnVPCQaFQLB+WqnB4EsBGIlpHRB4AbwXwu2YNpiekhINCoVheLEnhwBjLAfgwgDsB7AFwM2Nsd7PGs6LVi3gmj2gq26whKBQKxaLiavYA7GCM3QHgjmaPAwB6wj4AwOhcCiGfu8mjUSgUisazJC2HpYYQDiOzqkpaoVAsD5RwqIKukBcAMBlXwkGhUCwPlHCogs4gFw4TMbVcqEKhWB4o4VAFYb8LLgdhUjXfUygUywQlHKqAiNDR4sGkshwUCsUyQQmHKukIelXMQaFQLBuUcKiSjhaPijkoFIplgxIOVdLZ4sWEijkoFIplghIOVRIJuDGbUBXSCoVieaCEQ5W0+t2IpnPI5QvNHopCoVA0HCUcqiTi520z5lK5Jo9EoVAoGo8SDlXSGuDCYSahgtIKheLkRwmHKon4PQCA2aSKOygUipMfJRyqJKy5lWaUcFAoFMsAJRyqJKK5lVTGkkKhWA4o4VAlrZrloNxKCoViOaCEQ5Uo4aBQKJYTSjhUidvpgMflQDytUlkVCsXJjxIONdDidSGmhINCoVgGKOFQA0GvU1kOCoViWaCEQw0EPS7E0vlmD0OhUCgajhIONdDidSGRUZaDQqE4+VHCoQaCXpdyKykUimWBEg41EPQ6VUBaoVAsC5RwqIGgx4W4ijkoFIplgBIONaDcSgqFYrmghEMNtHhdiGdyYIw1eygKhULRUJRwqIGg14UCA1JZtRqcQqE4uWmKcCCiLxPRXiJ6loh+TUQR6bVPEtEBItpHRK9sxvjsCHqdAIC4SmdVKBQnOc2yHO4GcDpj7EwALwD4JAAQ0WkA3gpgK4CrAHybiJxNGmMJHie/XJmcshwUCsXJTVOEA2PsLsaYUL8fA9Cn/X0NgJ8zxtKMscMADgA4vxljtMLjUsJBoVAsD5ZCzOEvAfxe+3sVgAHptUFtWwlE9D4i2k5E28fHxxs8RI4uHPJKOCgUipObhgkHIrqHiJ6z+LlG2udTAHIAflbr8RljNzDGtjHGtnV1ddVz6LYIt1JaBaQVipOWe54fxY2PHkEqu7xrmlyNOjBj7PJyrxPRXwB4DYDLWDE3dAhAv7Rbn7ZtSVC0HJb3TaNQnKzc9MQxfPLWXQCAB18Yx/fftQ1E1ORRNYdmZStdBeATAF7HGEtIL/0OwFuJyEtE6wBsBPBEM8ZohRAOaRVzUChOOpKZPL70h7148bp2fOzKTbhnzxgeOjDR7GE1jWbFHK4HEAJwNxE9TUTfBQDG2G4ANwN4HsAfAHyIMbZk1HSvCkgrFCct9+wZxXQii49cthHve9kGdAQ9+PmTA5XfeJLSMLdSORhjp5R57fMAPr+Iw6kaj5Nn1S4n4ZAvMDDG4HIuhdwFhaJx/OG5EXSHvLhgfQecDsLVZ/biF08OIJnJw+9ZMhn1i4Z64mtguWUrpbJ5vP37j+GCL9yLZwdnmj0chaJhMMbw6KFJXLyxE04HjzFcurkb6VwBO45ON3l0zUEJhxpYbnUOv316CI8fnsJELIOv3vVCs4dTNQ8fmMBf/ehJ7B6ebfZQFCcIB8ZimIpncMH6Dn3beWvb4XIQHjm4POMOSjjUwHKLOfxm5zDWdwbxkcs24oEXxjEZSzd7SBVJZvJ4/0934N69Y/jbm3aiUFBNEhWV2TXEFYmz+/VOPgh6Xdi6MoynB5an1ayEQw0sJ7dSRjOnLz+tBy/b2AkA2H4CmNcPvDCGaCqHa7f14dB4HI8emmz2kBQnAHuOz8HjcmBdZ9CwfeuqVjw3NFv3TsyMsSXf3VkJhxpYTm6lvSNzyOQLeFF/BGf0tcLjcmD7kamGnzeTK+Cvb9yOq77x4LzWznjghXGEfS58+jWnwe0kPPjC4lTPK05s9hyP4tSeUEnixekrWzGXymFgKlm3c82lsnjDtx/B6Z+5E/ftHa3bceuNEg41oFdILwPh8MwgN7PP7GuF1+XEpp4W7BuNNfy89+wZxd3Pj2LvSBQ3Pnq05vc/fzyKrStbEfK5cfbqNjy8TP3Fito4OB7Dxu6Wku2be0MAgBdGo3U713fuP4hnBmfgdBA+/stnl2wlthIONSB3ZU1l80veLFwIh8ZjCHicWBXxAwDWdbbg8ETjhcNtzw6jJ+zFGata8ce9YzW9t1Bg2D8axakr+AO9bU0b9h6PIp2r38M3NJPENd96GB/82Q7kloF7cTmQyuYxMpfC6o5AyWsbOrnAOFSnez+XL+AXTw7gytN68N13novJeAa3PXu8LseuN0o41IDDQXA7Cb96ahCbP/0H3LJjsNlDahjHJhNY3R7QWwes6wxiaDpZ14nWil1Ds9i2th3nrW3Hs0MzyNYwAQ9OJ5HI5LFZEw5besPIFRj219Hi+fztz+OZgRncsWsEv9i+fAukTiaGZpJgDFjdXiocWgNudAQ9ODQer8u5nh2axVQ8g9edtQoXru/AylYf7to9Updj1xslHGrE43RgcJr7H3cPzzV5NI3j6FQCayRNan1nEAUGDEwlyrxrYcwmsxiYSmLryjDOWRNBKlvAvpHqzfnBaT42oQFu6Q0D4MHGehBNZXHP82P4y4vW4dSeEG5fohqfojaOafe0lXAAgPVdwboJh0cP8gSJCzd0gIjw8s3deOjAxJKMYyrhUCMiKA0Ax2frF6RaShQKDMemEljTUczcWNXG3UvHZ1MNO+9ebRLf0hvGes2cP1aDMBqZ42NbEfYB4NaOx+nA/rH6WA4P7Z9AJl/AVaevwCs2d+OJw1OIzSNorlhaDFYQDqvbg7risVB2HpvGKd0taA96AAAv2dCBRCaPvSNLT9FUwqFGjMKBT0bxdO6kqqKcSmSQyRX0eAMAdLV4AQDj0WKtw23PDuOlX7oPX71rX13iL8IiW9sR1IVRLZbK6BwfW48mHJwOQn+7H0cn66P17RyYgcflwIv6Izh/XRtyBaYLtOXC0EwSv9w+cFLVj4zOpeF0EDq0e9zMqogPI3OpmlycduwdieoWLQCcvboNAJZkLYUSDjUiC4fhGS4c/u7nT+NN33mkbpNQs5nQit06pYelM2QUDtFUFp+8dRcGppL47/sO4I5dC/ebCkust9WHVr8bYZ9LFxhW/PbpIVz61fsxPMP3GZ1LIeR1Iegttgxb2xHE0cn6aH3PDMxgS28YHpcDm3p4XGNfHbNYljrpXB6v+++H8PFbnsUPHjrU7OHUjfFoGh1Bj942w8zKiB8Fxu+vhRBNZTE4ndRjYgCwstWHrpAXTx9TwuGExyPlQU/E0oilc7hnD89VvvWpJbP0xIKYjGUAAJ0tHn1b0OOE3+3UhcOjBycRTeXws/e+GFt6w/jiH/YuOHtneDaF9qAHPjdvctbfHsCAjTmfLzD83c+fxqHxOH76GE95HZ1LoTts1P7WdnLhsFDLhjGG3cNzOGMV1/pWRfwIepw1xUROdB4/NIXJOL83bt5+8iRjjMfS6ApZWw1A0aUqlMH5ItybQrEAACLClt7wklQylHCokVa/2/C/nP/83NDJ0ctHWA6ymU1E6Ap5Ma699sjBSfjcDmxb24a/v3wjjk0lcPuuhQVoj88k0dvq0//vbfXjuM0DeXC8GEf4035eyzAWTesuJcHq9gCS2bw+7vkyHuWKwMZu/mATEU7pCRnGcbJz394x+NwOfPSKTTgwFtMtthOd8Wh54bBSc68OzSzMAhUu0rWmlNlN3S04MBZDfom56pRwqBExYQqt+sgEdyX53U5bLfdEQ1gHXSYfbFfIq7+2e3gWZ66KwOty4ootPdjY3YJv//HggnzRx2dT6G0txjnag27MJDOW+z6rFem9ZEMHjkzGwRjDXDJbIryFsBmdXZhwOKx9z2ul9gqrIr6GBuiXGs8Pz+H0la245FS+LO/J0ql3PJouuddlRIKDiGnNF+EiFZaIYNOKENK5Qk3JF4uBEg41IiYf4Y8/ovmzz13ThsHp5AlZGHfbs8P4yaNH9Il9Mp6B20kI+43LfbQHPbrL6dhUQk8ZdTgIH3zFBuwbjeLeGgvXZCbjGXSFiq6sSMCD6UTW8pruPT4Hn9uBV5zajWgqh+lEFtFUDiGfccwrNOGw0MyyI1o8aZ2UwbUi7MfIbKou33kuX8CPHzmypBMb9o9FsbGnBeu7RGHYiR9jKxQYJiq4lYJeF/xuJyai1sIhly/gy3fuxX/ds7/svTA4nURH0IOAx3iPbtCu52IUmdaCEg414tf84SIVTVgO56xpQyKTx3Qi27SxzYedx6bx4f/diU//djdueYr7kSeiaXQEvSVr54a8LsTSOaSyeYzOpQ2pf689cyX62vy4/o8H5j1ZziWzCEuafyTg1qrRS2MZI3PcyljfxSfrI5NxxNI5tHiNlkNR61uYhn9kMgG3k7AyIru9fEhk8ojWIZ31+j8ewGd+txtv+s4jGFqC7prJWBrTiSxO6Q6hxetCd8iLw1Lufyqbx83bB3QL60QhlskhV2D682xHZ8iju1vN3Lx9EN/640F8/Z4XyrpWB6cT6DNZDQDQ3y4y85bW966EQ4343PySubXA9JHJODwuB7au5IFKkQ9dKLCGtVcoFBj+uG+sLrnXP3v8GEJeFzpbvPi1FlCfS5W6ZwCuQcUzOd08loWDy+nA+y/ZgGcGZvRCn1pIZfNI5woI+4rnbQvwB3Y6UepaGtP8xP3aGAamElw4mCyHjhYvXA7SayBkhmaSiKaqE+bDM0msaPUZGrMJq2Rkga6lrGY1bF4RgstBeoB9KSGshA2aMF7XGTQIgi/+YS8+ccuz+PD/PnVCWc9zSf79my1OM10tXkzErF2ct+wYwMbuFvSEvfi/Z4ZtjzE8k9TjF+Zj+9yOhhaYzgclHGpEWA5CqT46mUB3yKtrHjOJLEbnUrjwunvx7v95oiFj+Ma9+/Ge/3kSf/6Dx+fVuVSQyRVw1+4RXLG1B687ayV2DkyjUGCIp/MIekuXRWzxuRBL5fTYilkLevO5fegOefGt+w9Udf4DY1F84fd7kMsX9IfUYDlof08nMmCM4Z7nR5HI8M87Hk2jO+TV9xG+/7DpIXc6CN0hb0ls4N49o3jpF+/D277/WFUtQUZmU+gJGYPdvbrLih97NpHFJ255Bk8crq177WOHJjGdyOIfr9iEs1dH8FgVbcYZYzg0Hlu0egNheQmB2N8e0C2cbL6A3+zkisXu4Tk8eaT5rrHr79uPP//B4xUTBqIpfj+FfKXKkExni9dQ41N8fxY7B2Zw9Zm9uPK0FXjwhQnbwPJkPGNIDxcQEfra7DPzkpk87nl+FDMWSlIjUcKhRkTVsNCaZ5NZtHhduuYRTeVw754xjM6l8fCBybovkJPJFXDjo0cAcFfHbc/aayqVePjABOZSOVx9Ri/WdwWRyhZwfC6FWDpnqBUQtHhdyBUYRrXJ0Fw05HM78dcvXY+HD0xaBivNguyTt+7C9x44hJ8/OYA5TYNvNbiVuMCdTWTxy+2DeO+N2/H9Bw8DAMbmUugO+XRhIjJnWizG3dPqK3Erffv+gygw4LmhOdy7p3KcZCyaRk+rUTgIhWBaS+/8wu/34Obtg/jAT3fU1IPqycNTcBBw0Smd2La2Hc8NzSKZKf/+nzx2FJd+9QH8+23PV32ehSAmxm5NQHa08PgTF1JxTCey+PdrtoIITV857f59Y/jKXS/goQMT+PRvnjO8NhXP4M3feQT/8IunARSFQ7iScAh5Ld1Ku4ZmwRjwov4IzuxrRTKbt3StZfMFzCSy6Gixdl/1t/kt3UqFAsN7b3wS771xO9747UcWtSJfCYcaeeM5q/C9d56Lv7p4nb7N63Lomkc0lTWktz50oL4Pyt6ROcwksrj+7WdjfVcQv95ZubYiX2D4+C+fwVXfeBBPSmsy3L7rOEI+Fy7e2Kn77g+Px5HI5BD0lE6yQW2R9WFNOFi5nt56fj/cTirxvX7h93uw9TN34iEt7TSVzeOZAZ5xdPfzo5gVloOk+bcFheWQxa+0eMizgzOIpXOIZ/LoDnvhdTngdlJROFi4B3pbfQbXz8hsCjuOTuNjV25C2OfCfRWC6IwxjMym9PiFQHz+uRQPmv9p/wQcxDXEWoqadg7MYPOKMIJeF/JbofoAACAASURBVM7qiyCbZ9g/Zp/3zhjD9fdx6+wnjx3Vr91COKplfNkxFk3D7STdUusMepHJFxBN5/SxnrumDVtXhquyfBrJzx4/hq6QF3932UY8cnASY9Hid3/bs8PYfnQav945hGOTiardSp0tXkwlMiVWwS69tX2kbC8voUDYVWH3tQUs3cQPH5zAwwcm8YpTu3BoIo6bn1y8Zo9KONQIEeGVW1cYNGuPy6FPatFUDntH5nD6qjCIUHXDLsYYbnjwIL557/6y+4kUzrP6Injl1hXYfmS6omvplh0D+OWOQewdieIDP92B2US26FI6rQdel1PPmDg0EdPcShbCQdt2XJuIrR6okM+N89a24/69xUV2svkC/ufhIwCAX+7gN/fgdEJfUW9gKoG5JP8MBsvBr7nqkhndhbH96LSeNdLZwoPmYZ9bj4NYuQd6wkbhsP0oF5Av29SFi07prDiZzaVySGbzJcJBWC2zCV75OjSTxD9cvglEqHoFOsYYnhmYwVna8pRrO7lFWi6t8dBEHGPRNN5ybh/yBYb7980/QwzgLrZLvnw/vnLXPtt9xubS6GzxwqFVEQsNeDKWwYGxGIh41s1ZfRE8PzzXtLhDMpPH/fvG8LqzVuKyLd0AYIiB3bl7RF/u9969o4imqxMOEb8bjKEkRnVgLIYuza28sacFLgdZFkaKeEWnTeC7v92PuVSuRND/ascgIgE3vvvOc3H26ghuXsROwEo4zJOAp+iT97qcCHpcIOI3z+GJOLasCGNF2Gfb/uGh/RN6phMAPHlkGv95x1587e4XMFYms+a5oVm0Bdzoa/PjJRs6kCswPFFhhbZf7RjiXUQ/cjGm4hl88c69uHfPKOZSObz2zJUAeFDMQcVirxaLmIN4gIZnkwh4nHpQ3swF6zuwbzSqm8C7hmaRyRXgczt0y0FMfuevbcfgdFIPOssxBxH8T2byGJlNwekgzCazunkvxhP2u8u6lVaEfYhn8vqDvePoNPxuJ7b0hnFabxiD08my5vq4pnmaq6/dTgcCHifmUlndt33hhg6c2hPCM1X2ypmIZTCXymFTDxfO/W1cOJRr+SFW5PubSzYg6HFiZw1WynNDsyUB7+8+cBAA8P0/Hbb1l4/HeIxHIDTgyVgaB8fj6Gvzw+d2YlNPCHOpHMZs0j4bzfajU8jmGV66sRNbV7aixevCU1J68N7jUbzxnFVoC7hxYCxWdCtZWMEyQmkxT97HphJYo7mYvS4nesI+y2yzybim0NikzIrvXQ5KC2v00lO74XU58arTV2DvSHTRig8rCgciWkNEndrfFxDRx4joDY0f2tLG55KFgwMOB6HF68JcKoeZRBbtQQ/62vyWpuJELI0//+HjePlX7tfNTaHNAjDUCjw7OGMQIkcnE1jf1QIiwrY17XA6qOzyndPxDLYfncIrt/Zg68pWvOeidfjfx4/hwzftxKqIHy/bxAuaHA5C2O/GTCKLuE3MQWwbnkmV9dEK83qf1mlSmN5vPW81JuMZxNI5HNMmv4s3diKTL+jtA1oNwoFf44GpBHIFhjNWtfL/tWsqXF8hH7/u4m8zIogq4g57j0exuTcEt9OhLwy0v0z7gqk4nxCs0h3DPjdmk1k9KN0b8WNDd0vVNQBCqAjLLahljpXLXDk8kYDHydc73tgTqrqj52wyi9f890P4l988h0c0d2ehwNuCtHhdyOQKej2HGXMVcYd2LSZiGYxHiy43vedUk9qKPH5oCk4H4by1/NlY1xnEYe1em45nMBnPYH1nC1a1+TE4nZQC0uUth3LCQV4kaGXEZzl5i/qgDlvLgR9Dni9eGI1hMp7BBRs6AACvOJVbQkLBajRlhQMRfRrAfQAeI6L/APANAJ0APkJE31iE8S1ZHA7SM5dEM76wz42JWJqnZPrd6G8LWFoOv5f88TsHuFbz1NEZrOsMIuRz6Z0+ZxIZvO76h3HZ1x7QzfSRuZQ+2fk9TmzpDZXVHJ8ZnEGBARdu6AQA/MMVm3BKdwsKjOFfrt5iaDbW6ndjPJpGrsAqCIekZbxBsEVbWvH543yCGJxOwOty4Nw1vAPlwFQCx6aS8LudeJHmThGTiaz5iz5WYqI9s08TDlrgzq9Zb7KgEt+JjJi4xAR+cDymT8ZCOJRbBnJKE+AitVam1a8Jh5kkHAR0h7xY3xnEwFSiqh79wu0oYj4AdzHIbqW7do/gDumeGZhKYFWbH04HYfOKEPaNRKty48jus19pactHpxJIZPJ487l9AHgVNMCvx1/fuF1fjS+ayhqus8i6mYilMR3P6tfmFG2pzWa1Fdk1NIuN3S36vcpTbvlYxGpuG7qD6IvwbKu5ZBYelwNeV+l9I9MaKBUO+gpyUkp3b6vfsmpeWMZW9xBQtBzk+WLnMT43nLe2HQC/tq1+tz5nNJpKlsPbAGwBsA3ARwBcyhj7JwBXALi8wWNb8ojJSfgwQz6XblKG/W6sjPhxfDZZkm749MAsWrzcDbVrkD+MhydiOLUnhFURv36D/PZpnomULzA8dWwajDGeKy1lzZyzug3PDMzYugOe1wTNaVodRovXhT/83Uvx6D9dhled0WvYN+J3Y1irJA56LFJZtQeOCz97TWtVxI+Ax4mDWqOxoZkkVkX8+uJBx6YSGItyIRfRHjqhWcmuKoeD4HEW8783r+CfQfwv0m3lsbicpZ01e6T2B9FUFmPRtC4cVkX8cBAwVKb7q0ghbLOyHPwuzCVzOD6bQlfIC7em0RdYdWtRHNXqZFa2GtujC4H03NAs3veTHfjgz57S3WIDUjHVxp4QphNZvSFeOR47xPthvXhdO/aN8vtCWHevPasXTslf/uudQ7j7+VF87e4XAKDEmhTKQTSVw2Q8o8cgOls88LudlkqRKJQ70qBCOd4ccRanaxYmwNudDE0nkckVdEG8TrccEphL5UrSn62wshyOz6bAGA8mC3ojPL5lfuZjmoVilTAB8Pso4HEamvsJi064rYgIZ/VHanIjLoRKwiHFGMswxmYAHGSMJQCAMZYDsLhJt0sQoaUKrSPkc+mTTNjnQlvQgwIrpssJjk3FcdrKMNZ1BvHcMHe5jEfT6Al70ddWzB8/IC1Ss28khplEFulcASukieTs1RHEM3nb7Jbnh+fQ1+Y3aPoup0O3PmTCfrc+frtUVn3fMm4lIkKvlD46NJ3Eqja/wa86l8oh7Hfr55mKZ+B0UEnbZK/LgRntgdQrSc1uJakq2knlhEOqRFN3OR3oDvkwVKbjpqh6by9nOUh9oUS687GpypPg8GwKva0+PdALcPeVEA6PSzUTj2iB1WNTCd0NIYSEXYNCmd1DvDfSGatasX+UN3oTWu66zhZ0tnj070y08RAN4cxJCkIhSmRymE5kdJcbz9m3dqde93teKPeh/32qIfUZ47E0JmIZvSAVANa0B1BgXEERQeGesBerIn6euj2b1JW8clgJBxH7kmMxK1v9yOQLJcI6ls5pmXXWU654ZuQ2L7uHZ3Fab9hwb5zV14oXRqNIZRu7XC9QWThEiOiNRPQmAK3a3/r/Cz05EX2UiJgU0yAi+iYRHSCiZ4nonIWeo5EIzdWjWw5uPRAX9rv1tD9z87gjkzyItbo9gJHZFFLZPOZSOXSHfdqDxXs0HZ6I44xVrfC4HDg6GS/6taWJ/ex+7qp56qi1NnFwPG5oEVyOVr9bv6mtArvyjV3OrcTHWDSvh2aS6GvzIxJww+UgTMYzvFWGz6WfZyaRMbRDF3jdTsxok3OfLlyMbiX54XZY9OT3e5wI+1wYm0uV+PgB7icu13tpOpGB1+WwnETCmnCQ+/OIyWIiWll/GplNlmRB8Z5SvIbgqaPT6A554XE68NTRaaSyecwksrr1KCyOalpuiNX95EZv41G+0E3E70ZnC8/lZ4zh2cEZhLwuJLNc8cjkCwa/vHCrjs6lkC8wg7tE3MMyyUwev9LWXN89PIddDehgLNp5yN+tCABPxdOYjKXhczsQ8Lj0+3cylrGdsGWEMmQQDlHRvbj42YW7bcpCOFSKa6yM+PU0ccYY9o1EdRetYFNPCAVWfRbkQqh0VR4A8BoAV0t/i58HFnJiIuoHcCWAY9LmVwHYqP28D8B3FnKORiM0KaFFeV3GyVO4TGakfkuJTA7j0TTWdga1RnbpYhfUkBd9bX7E0jyl7fBEHOu7gljdHsDhibjedlrWVNZ0BNAe9Oj+STOD0wn0W/RzsUKe8AMWwkGed30VtK0VWm1BLl/ARCyDnrAPRISQz4VoKos5zYctrmE8k4fbwiUkX9P2oAdel0OfCIXlIFsbVpYDoKWzapaD00FGP3HE2k8smI5nbHvvBDxOpLJ53vRP+yxCSMj59XYcn02VtFRoD7qRzTPE0jkcHI/hzL5W9EZ8GJ5N6ZOTKBDsjVTXWDCVzWM0yv3jQqCMzaUwEeML3TgcxZbss8ksUtkCLtVSQUXmldnV6Pc49e9CniD72gIlAfWdx6YRTedw3RvPAMBTkmX2jUT1Qsj5clQ7p7z2uQgAT8YymIpn0BHk341ssVopJWZ8bgc8TodROGgCQO7oahe4tisslVnZ6pcWrkojnsnrMRyBUPTK1cHUi0pX5TkAu7WfXaa/nyvzvmr4OoBPAJDty2sA3Mg4j4FbLr2W714CCK1XWA6y1hr2ScJBulGET7GvzY/OFi8m4xl9EukOeXUNbCKWxvBsEms6gljbEcDRyYTut5Rz+YkIZ/dHsNMidXI2yTuVyj7RcojxArCcqKuZhAW9rT6MRVP6ZxcPTcjnRjSVQzSV435Wt1NvReKxCAp63cVbNOBx6tecqJjqKo/LynIAuLAanUvj4HgMa9oDhhX9Vrby9EO7oO50IqNPxmY8TicyuQIvHNTG5nNzS8Wq3YJMocAwKiUYCPSeUvEsbxMS9mFF2IfjM0ld0RDfVUfQA4/LUbF1OP98wOoOvy7opuIZTMSKLR06W7yYiGZ0d4mYiOxcjX530UcuWw69ER/mUjm91QkA/f686vQVWBXxG9JLdw/P4pXfeBCXffUBw3tq5egkF/yysG2TPqscGxH30awWkK4EEc/mE/U4QNFykBWHokJoshxSOUtrXKY34sNELK3FR0otXIAH2O1qKepNpavSov2cC+ADAHoBrATwfgDzdvkQ0TUAhhhjz5heWgVArvIY1LYtScwxB5csHPwutGpFXLIWIWctdAQ9SOcKODzBNZ7ukE83PblriT/8XSEuRERA0hzUOnt1BAfGYiXayqBNDyQ7ZMvBavKXu7TazME6PWGfwfwVAi2k9WfibiU3HA7SLQCPhUDySdfW7Sz6bHldCd/fILTshIOWf35gLGbIDAL4dc/kCrbdVWeTWd1FaMbtImTyBcTTeQSk2hB5YSSACwKzJTEZzyCbZyVuJTHZjEVTmEpk0NXi1ZIbipaD+K6ICCtbK68rITT5/raAvhbJRDxjSFHlykpad42KiWnQpujR73HqNTmywiJabIxJ6x88PTCD9Z1BRAIebOk1LpL0w4d4S5TxaBoP7CsWT9bK0ckEVkX8BjeRbjnEM5iMp/X/hUs4ls5V5VYS75GF10QsjbaA29CMcaGWA9OWI9XdnybLweNyoL89YJtyXE/KXhXG2L8xxv4NQB+AcxhjH2OMfRRcWKwu914iuoeInrP4uQbAPwP414UMnIjeR0TbiWj7+Pj8b6iFIG4qod3KE6psOcxKWoTQ/NoCHn0SEIHn9qBHf8iERhb2uxD2uTGXyuqFWuaHVCxSbi68sltcxA6PKVPIjLzJ3M7bjNAkhYASGSEtXhcm4hk93Rcojd3IiGsrBLHbxc8r+//l625n0WzobsF4NI39YzE9fVWga3txa7dGzKZiHAC8TgfSuQIy+QJapJYj8sJIAPCp3+zC+Z+/Fzc8eFDfNqW3VDBaJULb3T8WA2O8+E4E+Ke0YipRPQ6IAHZ5K0UEY7tC3qI2HeNWQqe0gFU2z6SsniCcDrK1HAIeJ+JaDyjZ/SfcnrJwPDAWw2bNf74q4jfESHYem8Flm7vRFnDjbm3J3fnAYypGK9nndiLgcWIqnsFULIN2za0ka/FWVrIVfrcTCann1WSstJFeuIxwCFVhOQA8VfzgeBxBj9PgQhas0TwJjabaCukeGLOTMto2WxhjlzPGTjf/ADgEYB2AZ4joCLjgeYqIVgAYAtAvHaZP22Z1/BsYY9sYY9u6urqq/Bj1RdxUYlKVJ1Svy6FrEXLMQVgOkYBbv7FE9o3f49QnfrEkYavfjbCfr2sgHnBz36Mz+1pBBDxlijuIycm8dKYd8vitFPBqNHSBsG70bqmSW0n4VYXAEJOOlQYnJh0R4yhaDtZBaIfNHX2KZJ6LIj2B7max6XoZt6kYN49ZjtPIXTyPTSZw0xPcIP7mvQf0icMu913cN0Jp6GrhwiFXYDioTdyyC7A96MG0jWATyOm4bie/N6fiaS3TyG0Yh37ekBdhn0tXMszCwec2FoIK9JiLZjlk8wUMTCWwTltFr68tgKjWKmI6nsHhiTi2rW3HOavbFrTU7tHJUuEgPtdUPIOpRNGtFDQIh+qmwYDHaWiIOJ3IlKQ3h7QU9TkL4WCXxioQ2W7HZ7nlsKG7xVIJW9MewLE6rIteiWqFw40AniCizxLRZwE8DuBH8zkhY2wXY6ybMbaWMbYW3HV0DmNsBMDvALxLy1q6AMAsY2xhCxM3EHFTCY1XuJUcxDVrt9OBFq/LsADQrOQzFpOSePj8bkk46Cmxbn0SHZ5JosXrKpmYQz43Tu0pLYYrV7xlhcPgNrKyHKp3K4nJVK/70Cwi2RcvrKSWssKBH0e0KxGCWF5Ny1lh3AAMgb3TTMIhUmbdCKA0x19GtnZkAdLqd+uW3p8OcMv2S28+E7F0Dn/az/+fsREOcmU4AHSHi91nxb3SKgkHkd1Ujql4Bi4H6dprR9CDiVgGqWwBfu1aCmtscDqhZzBFAh699sWs+cotZDwWloNwow1OJ5ErMKzr1GpLNEt2aDqJA5r7ZEtvCJtWhHBoPF5V8aCZ2UQWs8ks1rQHS17raOEL9aSyBV2xkhUsbxUxB4Dfc7JbKZYurZFwOAitfrchzgiUv4cEYiGp4dkkDo3HS+INgjUdQUTTuZKMqHpT1VVhjH0ewHsATGs/72GMfaEB47kD3LI4AOD7AD7YgHPUDZdpMhMarDx5m/2U0wn+kLZ4XbomMRFNw+UgeKTurmISCGuWA1AUDlacvTqCpwdmDPnjU/EMQj5XVQE3oEbhUMly8BpbaYtCNdklJv7WYw4W4/SZ3Uq6cJDcStLb7NxK/e0BvPqMFXjHi1djbYdxAjG33jbDe01ZX3eD5SBNOC0+l17f8vihKawI+/CGs1ch4HHi8UO8dkEoDaL7rMCnXQdhdbUHPPo1GtYqsWUXVnuwsnAQQXWhiXa0eHTBLa6t+D08k0LE79YnOqGgWrmVBPJ31xbwwOUgPXYhKpTXaU0FV0WK6bfiM66M+LGppwW5ApuXP/2oVlOy2sJyEG4loHg/yeuVVGs5+D1Gt5LdfSFqX2TkbDY7Ah4XIlrPp6GZJNZ3lgo6QG610dgeS5VLAzUYY08BeKreA9CsB/E3A/Chep+jUYgAalbrLuq0CJB6XU6kJU1oJplFJOAGEekay2wyqz+YIclKAITlwCePoZmkba702f1tuOmJARyeLGock/GMbS8XKwyTbIWYg52GLtDdSjPGgKUcuBRWgZh0LOsctH18unDg55WzmIxuJetxOR2Eb7/jXMvX2gLF1uBmcvkC0rlClZaDJPi8Lh6L0PoVbexpgdvJW4iIAjM7t5L4rKI+xu9x6sHu4ZkkwtrELYgE3EhlC0hm8rYFXVPxovsI4NdcxBb82rXUz5vI6H/L7iuzhm10KxndfF0hr+5WEpOYKIIUrp3peEb/jCtafUhry8EekmpzRmZT+NubnkImz3D9287WJ0YzVqsTyuPUrXPt+ricDnhdPF5UtXBwO5GUis+iKWtXkRAO2XwBB8dj2NjN60qqKbbb0NWid0Ywx8YEvdK66KKbbyNQXVkXgLAcdOGgPbAuyfHtdTkM1YwziYzuUxYTSyyd028ct9MBn9uhF8OE/S5d6z4+m7L1W569mt8kchO+qXi64tq4MrJ/02rud1QR+BWIiXJ4NgmiokvCWEgl9i0TkHZZWw7yZFRpLJUI+9xwkLXlEE/z785WOEgTi7yP+PzxdA4DUwk9nXhjdwiHJ/jaCTOJLHxuh2GSBYqfWcSqfG6HbjlMxjMImPZvr+AW469lDULI63Lobi1zMeFMMqtr2IYMNpPgtbMcAO5aEm6l47MpuBykx9jkjJ7jsykEPU6EvC49pVfO6vra3fvw5JFpPDMwg4/+0pzcWERUdlvF1/hn1a6ldN+Uc2daETBbDqnSNcsBTYhk8vjBnw7jqm/8SV8ZsJrzbF0Z1lvhvMhm4i9aXgtbnrYSSjgsAJduOfAv0ynFHAQ+t9FymE0W12eWJzhZqxA3nNvJq1DlVhV2yxme0t2Cla0+3COtajYpZWdUgyHrx8pyqBCwlhEPXjSVQ4vHpb83YJFlVAxIW6Syuo0Tl5iEZC22UnC8Eg4HIRLwWAakY5pL0DYg7SqeW/5sLb7i8qXTiayu0a7tDCCZzWMsmsZ0PGMZD3I5HXA5SHdL+dxO3Q0yk8iUTMQiZlLOB20+l9fl1DvZimssBEIik9fvTbmRoTk4Kr9mtvq6Qj49tnR8JomecLFFSNDjgoP4Ikkjs7zOg4jQEfTA6SB97Y1kJo/fPTOMt53fj8++9jQ8cXgKO45adyAWixG1BUqfD5/bqcd/ZItTt1irdLv6pYB0OpcvqRrXr4XLgUy+oHfLFWswVJMVJeJhbieh2yaRJBJww+d26OuqNAolHBaA8AmKPHXdcnAaLQd5ychkJq/7puUJTn7QRJAr7HPrxTcCu0mKiHD5aT340/5x3VKZqtGtJGf62LmNxOZKqaxOqWutzxAfKJ5ECFdzMaGMveVQP+EAcIvGatEksc3ecijVROW/ReND0RdKxDsOT8QxIykKZsSELeo7xD1TYKUaaJtFx1Azwp2pj9vi3pPvQSEoyikEfinuYZ74usPFbC1eBV6c6ER7+NkkX29daPsObb3vUc0d9dzwLFLZAi7b3INrz+tH0OPELVoLDjNjc2l0aYs/mZGtBdlKK7ozq7t/Ah7uVmKMFRvpWdwXXpcT6WxBd6uJleFcdql0Elec1oM3n9uH/36bfRkZEWmtNpRwWLJcu60fP/7L8/HGc3idnphQ5YnV53YilS1aDulcwbLdhmw5FDU5o08esPbLC166sQupbAFPa/UOc6msIaulErVkI1UzIQsXmFwc6DJMNkbhYJmtpE1SYvLRYw6yW6kOwiHgcekuJBmhvdsJB3lSlIvghEYpKl2FAiHSOY9O8uVY7QLdegqvxT1gvk5ByYVlh6yUyMcHJLeSRQyhXJypnFXRrRVuZvMFHJ9NGZpFAkW/fDSVMwjInrBPdyuJup2z+iMIeFy4dEsP7tw9atmBeCyaQpeNpi1bC/KYhaJVvVvJhXyBIZMv6JaItXDglsN+LSVY9CurxnLoaPHiK285C1edvqLsfr1VFD4uFCUcFgAR4ZJNXfqD4XIYfwOllkM6V9BvViLSJ3v5ptXdU9q34zTEAuxvsPPXtcNBvDVzvsAMqXvVUClbybhv5eOJOINdewuhSZUz7y/Z1I1IwI0z+rj/1Zw+XM1YqyHocVq2boiXmQTM47CyHMx1HqIGYCKWQTKTL4k3CMyuHtll5TZdJ/Ga7A83k8zm9WMBRuEq3u+VhYOwHMq4Gu2sWKBYJT0eTWNkNmVoMw9w4TCXLF1Yqifs1d1Ku4fn0Nvq06/Z5Vu6MRXPYPdwaS3EeDRtWTAGGK0F+W8hLM3X0w7xjCYzeV1psIoBel0OJDN5vQ3JpPbbnN24ELolt12jUMKhjlilsnrdDpPlkDc8mEKDkx9+8XbxYMpzX7l5sNXvxrrOIPYcn9MnumCZB9iM00Krt6NSKis/dwXLQQ9I22crnb+uHU//65X4q4vXGfapt1sp4HXp1b4y+nW0EbJiPEQmrdSUdSYsCVGxOx3nNQZ2wsFryiByOx26IDK7QYrNC43C7ZO37sJnfvsc0rk88gVmtAwkQeGzcivploN9kkK5vH0xoe8b4R1dzf2jxAp65nTQDmkti8HphCH76EJtRbRHDpauzz1WRjjI94osIMvdd1bIQljvVmBxDTwuhyE5QBg6rjrcpwJRgd/IQjglHOqI02Iy97mcRsshWzDcrOZJAJCEjIWbqtKkvb6rBYfG47oWGajJcpA+i82NTPq+lW908TntLAexvZbAoLllCbDwbCVAsxws3DJCsNulIYoxy72egOKkISwHOZGgTQt+p0zavIzPlMIrxgiUukHEpCVX7yYzedz0xDH8+NGjeFhbElT+DFbxLrezuJ6GleVg/s7LCQcxUQsXZ6+NWymeyRsUmJBUHzI8Y+xY2x3yYX1XEE8eNgalM7kCpuIZ3VoxY2c5lGvbYoVfFg4VLAfx/MkCq1r3VTV0tXiRzhX0pIJGoIRDHbFahazUcjAJB1MFMFBqMRj9vuXHsL4riKOTCb1JXy2WQzktUcD0fSsfT1wPORBnZUUEa/D9ikOZ8+oXCq9+LbUcRLWunb9Yb+dhus6ilcbIbAoOMrb7aAvytbpT2bzlsqaArDSUFtmVCgcRcyiOf4+0rvT+0Zh2TOu6BDHpEUlJBFXEHMp1Ge0O80nx2UEhHEyWg5+vfZI3LUkb9rmRyfOajZE5YyAbAF7UF8Ezg7MGjVlfdCdc2XLwWwSka+mtBHDBK+odAhZKgyxseiXhZjU/zBfxWRvpWlLCoY5YadM8cyGPqXgGc6ksMrmC4SH1mLJxgNJiOkP9AcrfYBs6W5DJF7BvhE8ItVkO5VNZ7fa1QwgFO3eVOSBdjQYn5gSP5CFgIAAAIABJREFUwa1U8W0VCXqdJW4ZAMhoNSx2rgfZcpAREw5Pd3QbvkPR6yeVs3cr+SxSSe2uk9NB8LkdhpjJbqlHkejwaQw4W0+YQhjpzSTLZCtZTYyCzhYviIBnB/k4ek2TvN/tLAb7pWsn3G8Hx/kKdGaL48y+VkzE0oZgrKjEtnUr2bjTaq1zEPvlCgVJabAv3ARgiLVUk61ULWINiUYKh+pnDkVFxH0iz5tetwNzqRzO+dzd8LkdXDhID6aYdOR0z6LFINxKxeNVur96tJtRtCCwWgvafvy1BKSrEA6mDCPAaDmY3UrVPKQFTToYYw4Lf+gCHhcSFtlKosDRTnAVLQfjoyS7usy58G0BD45NJbSAtI1bycLdqNd6WFyngMdlEG5DMym4nYSwz6036zMEpC1iDvLf4vqSZMWakyHKWQ5upwPtAQ8m4xm4nYROU72NfE9YFQ+KxWzMloNYH3rvyJzuchJtw23dSi7rz1prnYO4X/MFpt8XVveswXKQhFu1Fko1dFl0vq03ynKoI3aWgyCVLaDAjBObmOzkFszmlFhj5XL5G0zkvItAqNWKbnZUG/gGqgsCW1kOVn+LCaGaBmgiuFfPCmmAC9FMvqA/9IJyGiIfR2lCAWD8nObCxbaAW7McyriVXE7Db8AYGzAT8DgNwk0Uva1q8+vptFapqvJnAErTqM3JETKVGsmJCWxDV0uJ6092sbQYYg5abzFtKdhWv7FOR7SGkZfJ1C0HG7eSzyLQLo+/WstBKDY5STiUq80BjO60emYr6c0iG9h8TwmHOmKVjWClGcoPpvBzy5Wd5lRWQH5Iy49BCBnRVK2c6W+mlpXeqoo5WLQTsRIOQrOuRjgIt5I8udTHrcTHYI47lNMQ5e1mLZqISj6foDXgQTSVA2NGl4eM3nDQU2o5WI0laIqZTGpLm3aHfHrPKDu3kqxwiO9MvG5lvernrNhllGvNGy3WMJfvCfk44lod1xcRMlldQb4OirxY0Fg0DSLYFnzKn9VgsZSxxKwQ32ehwPSuB5Ush85QcUzuOmYrRfR+YEo4nBBYadOyIBDIN4/wE8vLUJrdSvLfldw5kaDJcqhBONSSFVXJggGKE3glyyES8OBLbzoTrztrZcVjikBkLWOtBhFQNtc6ZLTWKPYBab7dykITn8/c1tln49Ix7iMCwxZZRRZCNGCKmYi+WoYMJRvhICNateiWg8P+vqvksrxkE19nxWrylZ8BS+Fgs/ocwDsTHJQsh/EoX+HNTjOXr7F839ZsOThly4HfF+WaRQLG57qeloPb6UDI5zKsFVNvlHCoI+JBkoPG1pZDcVu8nOVgkT1UaRoMaes96Kt3zbcIroKWU51bSbMcnDbCQTrftef12/aSkRE5KvLZ61UhDaCkSjqTK8DjdNgKQzHJWRWEic9vTgqQJxQ7t5KY0ORiYLHNOuZgbAo3nciiPeixDTwLQWH+WF2aa0ZfF13cdxYfv9Jk95Ztfbj6zF68/5L1pe+VvjNjN1vjSohWcY0NXS26qwyAYTU7K+wEYS2JEEAxtpWvwa3UbhAO9bMcAB67UpbDCYKVW8nKcpCDgcKnLXdPtTLlySL+YAURX6RFCJ1ATams1n9X2tcOMXnIk7dVQLoWRIzG4HKri3Cwthyy+ULZQGJxfQl7y8GsmXoMPn7rR/DVZ/QCMNXMmFqJGMdv7A01GePatF0BmNhuLuLq0YK6omZC3IvzqbUKeFz41tvPsXYrGdbBKG07IvoGWSk3G7qDmIhl9IWz5HWwrRDX27xPf1sALgeVBL3tkGMOmVwBDrK+h81rWwjcdcxW4sd2W7aZrxcqW6mOWAeky5udAtn8FMexSiOsxoXSGnBjMp6B00FV+1PN56tPKisZfgPWRXC1ICapWtqHV4OYrHKmvj2ZXKGsZulxOmzX+rX6/IBRWNhZDueva8fNf3Mh1ncFS/a1Go+81kA2z4uj2oIezCWLAsOqCC5savwngroiyFvpO3I7CZdu7i67j937BFYupmiKV05bCf712opyBydiOGd1GyZiab1nlRXimG8/37js/eqOAHZ99pVVrbMAyNlKBU1pKJ+kABhX7Ku35VDNCoALQQmHOlKsSyhus6ugNCN3zCya8lYxh8rj4NpKHF6XvTvECqvz2VFLKmsjLAerIOpC0LXCvFE4lJsEAC7sbvvIS/XGejLCDWGeFOTj2cUcAC4gZITFaZUv73KS3pBOrF8c8bsN7eKt+neZM6ku2dSF636/Fxeu560qil14rce4//Ovth1/OQxrnkidbWWhYbew1QZtydeDYzGc3R+paDls6gnhzr9/GTb1lC67Wa1g4GOWLIe8vdJg1fEWqG8qK8Ath0MTsco7zhMlHOqI1WTXbtGvX7Yc1nYEcGQyYZgwxHGs1kauZq4XZnqtGnVtvZUqH09MAPJEUEuhnRXCcpDfWQ+3klN/8E2prGUmAYGd1iomk3JuJa+NW8n6eHxfKw+Pk4rCIaUJBJ/baZmmChTbgrSblijd0hvGvv+4SurKOn+3UjnsLAeR5ZUvMNs6ir42P5wOwtHJBGLpHNK5gl4UZofdqmq1INc5iFiUFfLzbazxqa9bKRLwNDQgrYRDHbEUDhbpdfKEcOsHLzKsfAVIVoJ0L5HptXKISclZo6ZiFEbl961pHLLlIAen5+EO+shlG7FvNIqXbewqHqcOwkE8xOZ20OUmgUo4LT4/YGycZ+dWssIluTVKXpMsh7TmXuLCwTpD6ZzVEbzzgjX44Cs2lBzL0JqkvsqujiwwzRq1LhxsLAe304GVER+OTSX0CmE5ZbRRiMk9l+cB6UqWQ8DjNFq4dbYcWrw8zsQYq8lDUC1KONQRvfGetM1SOMjZDFretoxV+mDRvK98E+jujBqfbPnQ9XErlY6j0mpzlTh1RQj3/OMlNY+lEuKamWMOldxK5dB7S5kmBY+NNl8Jh+TWMCMmVKBoFXhdDvt6BqcDn3v96ZXP2YBJh5/fOBbDaw5CBvarHgLAmvYgjk4lMBHjPveuluqCygvBKSkQmTJrT4skk3PXtBm219tyCHpdKDDer62W+6haVLZSHbFyb1jVGVgFpA3HsQg+FwVG5XGIe7bWB9uue2qlfe2olMpaL22nHpaDfcyBVZ3qaDcuc5ZKtTEHuzHm8xbCgUgXGqILsM/tlNYOqWHgErW4M2uh3EQprpt5rWyZ/vYABhbdcigK52ye2cYQzlkTwbsuXIOvXnuW8f11thxEbU6szCJPC0EJhzpipalbTYDlMisAuVV3cVstD6lrnpZDLcKkulTWUguoHhO5mXpkKzlNLptMroBP3roLB8dj8w4kWmWdAdXVOZQdo0UAwOlwlFoOboeuiMw3jVIMvZExBzN6rKaMUF7TEcBUPKP3EKsUc6gH8j3CY1H2rU/+/ZrTS3o91TuVNajX5jRGOCi3Uh3Ri+BsJqu3nNuHF6/vqKiJksWkUksqa7H9Rq2WQ/X7VlUhbXH+RgiHejxzbqn6FQAePjiBm544BgCWmUjzObb+fxV1DlaI61mwcCsZYg6a5eB1FQPS89VaG/F9AeUL6Kpxi67RFgHacXQaTgcZ6gkahbnOodq1p/X3N8hysFreth4o4VBH7DRYt5OQzTN8+S1nWb5uxiqVVUQyapmUa485VL9/Ndq61QTQEMuhLtlKxWAjYGxoNl+3kmj1Yb4Onnm6lZw2tRiAdczB5y7GHOZ7jRoR6ASqsxzK3b/9knDoCHrqkrFWCXNX1lpjUfUXDtYrANYLJRzqiN3N/NSnr4DF82yLVSprsd9S5fdbLVda1XlrcStVlcrKjye7JBohHOpa56B9UaI3FVB9Y7ZKx9aPZ1jsqfpjr9fckZssKo55zIELBYPlIC0zOh8aFZAuNx5xj5SzLlZ3cOEwm8zi9FXh+g7OBuGuTecKZbOV7Ki7W8mr3EonDHbaS7msCyuEtmZ1L1Va7AewTiGthtpiDtWPg0mZ+fXO2Kh2LJUQ1+rBF8bxxOFJg0Cb78QqDlEiHKTj1aKZX3RKJ3734YtwhramgYzTQSgw4LX//ZCeGu1zO/TGffMVynXsFWegnEAvriBov0/Y50Z7kC+atLW39Ho0AnENv3znPgDFxoLVUm/rJmjTD6xeKOFQR/QK6QUfh/+2mvSqy1YSwqG2J7ua3a3aV9hh6VZqgCZal2wlbUL63TPDAIzVyfN3K4ljm7KV5nk8ADizL2K5XUyku6QV4AyWw5JzK1VjOZQ/twhKn7ZysSwHU+yoUZKzSvSYQ4PcSipbqY7Uy2VSrj13NdrHfGMOtWjgtaSyGtxKdfa7AvWxHMwWzYS0/OJCJ4FylkO9sLov5JjDfNtF6xXS8x+aJeUmfrvKcjMfu/JUALVr8PPFfI1rcQk2gkZnKzXt0xHR3xLRXiLaTURfkrZ/kogOENE+Inpls8Y3H+qlFZfro1TNKfSaiJqzlSrvX6nXjmEcFjstVcvBfAx5+UWPa37HryYgXS+sF5pyWtaa1MJiVEibERZvpe/1olM6ceS6q7G2Qmp4o6h3r6RaOSljDkT0CgDXADiLMZYmom5t+2kA3gpgK4CVAO4hok2MscY41eqMfjMv8J4pts+wcis1Mlup+n2r0ta1XWStc6lmK5mvVTRVfODmO5mLz22eRObrpiqH+Ro4iH8msSjNfIOh9XKVmik3HnG567lyWiOYSTaur1E1eFwOeJwOvT1/vWlWzOEDAK5jjKUBgDE2pm2/BsDPte2HiegAgPMBPNqcYdaGXqi2wOOUizlUc+xqNa+S99XZrVTP95WjLm4lCy1wVcSPF69vx5vO7VvQsc2fuREap1m4+dy8r8+6ziB6wl586uot8zpuo2IO5SyZYvHg0vZ6H5tKVLXff77hDDx+eLIhY/juO8/Bmo7GWE7NEg6bALyUiD4PIAXgY4yxJwGsAvCYtN+gtq0EInofgPcBwOrVq612WXTqlcesPxxyKqvptbLjsEiFreW85SgGpGs6tHSO+b2vHPVJZS2diLatbcPXrn3RvI+pB6RNx67ncpECswAS/nC/x4nH//nyeR9Xr5Ce9xGsKfesWK0TvtT4s239eOeFa6ra9+0vXo23v7gxc9Slm3saclyggcKBiO4BsMLipU9p520HcAGA8wDcTETrazk+Y+wGADcAwLZt2+p9786Lek18xZhBcZu+PGZN2Uo1Coca9q9FW5cD0o3QROuRImh1iIUGokUK72L4ps1adr0asTUiRgSUdyst5nWbL+96yRpsXbk4KbTNomHCgTFmq64Q0QcA3Mp4xO4JIioA6AQwBKBf2rVP23ZCUK/+M+VaZdTSPqPW57qaOZaIf85qxrFYj3Y9XFVWQqtesYFGtaCQKVdotxCoTq5SM9VYBUvZrdTsTKXFoFmf8DcAXgEARLQJgAfABIDfAXgrEXmJaB2AjQCeaNIY581CteNi4z2LmEMNlkPN563ifbXUOejvqbtTwkijtNuFZhWJa7UY+fBm66kerjagcW6lctekeN2WruVQqbPyyUCzYg7/D8D/I6LnAGQAvFuzInYT0c0AngeQA/ChEyVTqZ7oFdLSszGfmEOt1FQhXcV8pwvJBjv9GqVgLlT7LsYcSq/rJZu6cPEpnQs6voz5HJ116lLaKKunGuHQiGr6etGIjLOlRlOEA2MsA+DPbV77PIDPL+6I6kO95sByk3QtFdK1urnq3T5j0dxKTWgOVwtWLpQf/+X5dTm2wDyJ10s4NKq3Ui1FlEsR5VZSzIt6pbLKFAPS1cccaqWWt9VyjkZnC9RbuxWX2OOsj+tgMTTgUsuhPi2s9aLHuhytlL+7bGPJNr0n1RJ2KynLQVETp3S14N0XrsG7XrJ2QccpJwCqW+yncTGHYkC68vEapHRanKe+Jwp6XIilc3VwK4kK6cZfCHPM4TypN9SCjtug9hkAcOS6qy2321WWLyUaUeW+1FDCoY44HIR/u6byuryVsJqka4k5zDfLo5pJVriqqtn3Vaf34p49o/jEVafOazy1snlFaSvr+eBzOxFL5+rnVlpky+H2j1xctzTLxci0smMpu5WWsuCqF0o4LEHKPRPVPC+L8VBV4+f3e5z49jvObfhYAOC2v70Y/W2Buhwr6HViIrZwv/JiukfkSbye+feLZf1ZsZSFw3JACYclSDnroBqNfTFWxWpUoHK+nG6xxsF8CWjdLhdcBCdSMhfBcmiUht/M77nZLbGXO+rqL0GsHkg9IF3F+xdD41rCWYYLJuDhgegFxxy0b60RbcrNzLfwsdrjLiZCqDbTpaVQwmFJUu4Br6VCupEsNcuhnvjc/LGol+XQqFRbGRHXqPf30oz5WQjVpZyttBxQbqUTBD0gXcvazQ1MIl3IJPQvV29BV6g+efiNQAT0F245cBZDjjaqtXajurJWg3IrNRclHE4wlozlsIDn9r0vranH4qIjhOuJZB05GzTm/7+9uw+2o67vOP7+3OSGYEIIENQUCEFAESiGJCIPDkalTshQUjU62PIUH1JbIWqHUVs7FrTVGUY6FTtDyiDGUAFB1AkRBh8gBYGgEUkQkZoiHVFGHtqGplY6Id/+sb+TrHfPPffc3Hv24ZzPa+bM3ad79vs7e85+d3+/3d9W8Rm4WqkenBwaooyb4MajSTvO8Wp9fi/umtiZ15pzF3L13Y9P2t3KnUztVZtDFckh/S2jIX+81py78HceBNXPnBxqqNPPsZufahnJoYqdRlmmTlJyWHT4gfzTeZNzM9pYenXmUOmlrDVsc1h6/NyqQyhN/VKztW0pGN9NcD5zmIjW57dz166KI+ler65WqnI7u1qpWk4ODdNVtxUldHmnPv7mLDhsNpA9JrQpenXmUM2lrNnhkVNDtVyt1DBVXj2S14/VSn955jE8u+MF3vP6IzjlyIMa9aSvXrU5VHnw3odfsUZxcmiYuvxg+rFa6U/fcOTu4SYlBuhlm0N6vxIfxFuLZ/6aq5Wapi475RpeSDLQ9iSH3rxvqXZnh3p81weVf+INM57f6mQ907p9HP7h1kmnR8tOxO7vW4mb+yNLX8U+U4ca1ebTj1ytVEOdfod12Sn3Y5tDo7UeytMHVystPX4uj/3t4FwyWlc+c2iaEn6rnfYHl519HNOmDNWm7cMy43nOxnjsfjs3BAwcnzk0TK+P5L730Tey7/Doj8e84NT5XDDBJ93Z5Nt/32EAVrd57OZE+F6DweXk0DDd/FYPmJHtKI566cxxv/+hk/TAHCvX9OEpoz52cyJ2H4w4RwwcJ4eG6ebM4bjf25/r3/s6Fs0/oISIrJ+5WmlwOTk0TLcHcKceNaencdhg8IUHg8sN0g1TlzukbTDU5eo4K5+TQw11OoN3+6CVyclhcDk5NMyQs4OVqJ87WLTOvOlrqPNNcKWFYeY2hwHm5NA4/rFaeVytNLgqSQ6SFkjaJOkhSZslnZSmS9KVkrZJ2ippYRXxVe30Vx4MwPITDynM85mDlcm5YXBVdSnr5cBlEXG7pGVpfAlwJnB0er0OuCr9HSivOHjmqDc0+UjOyuSv2+CqqlopgFlpeH/gV2l4ObAuMpuA2ZLcA1eOk4OVaXhoiCHBX5/16qpDsZJVdebwIeAOSZ8lS1CnpumHAL/ILfdkmvbUyDeQtApYBTBv3ryeBlsnzg1WpqEh8fhnJr9bDqu/niUHSd8BXt5m1seBNwMfjohbJL0T+AJwxnjePyKuBq4GWLx4cd/f3L+7ixsnBzMrQc+SQ0SMurOXtA74YBq9GbgmDf8SOCy36KFp2sBrdcnsaiUzK0NVbQ6/At6Qht8E/CwNrwfOT1ctnQxsj4hCldIgc3IwszJU1ebwPuBzkqYCvyW1HQC3AcuAbcBvgJXVhFdfzg1mVoZKkkNEfA9Y1GZ6AB8oP6L6ayUF3+dgZmXwHdIN415ZzawMTg4N4QZpMyuTk0PDODWYWRmcHBpiT5uD04OZ9Z6TQ8M4N5hZGZwcGsYP+zGzMjg5NMSeBulq4zCzweDk0DByk7SZlcDJoSHc1mBmZXJyMDOzAieHhoi+75TczOrEycHMzAqcHBrCbQ5mViYnBzMzK3ByaIiXTMt6V/cZhJmVoaqH/dg4rV35WjZsfYqX7rdP1aGY2QBwcmiIww+awQfeeFTVYZjZgHC1kpmZFTg5mJlZgZODmZkVODmYmVmBk4OZmRU4OZiZWYGTg5mZFTg5mJlZgaIP+oKW9Azw73v573OAZycxnCo0vQxNjx9chjpoevxQfhkOj4iD283oi+QwEZI2R8TiquOYiKaXoenxg8tQB02PH+pVBlcrmZlZgZODmZkVODnA1VUHMAmaXoamxw8uQx00PX6oURkGvs3BzMyKfOZgZmYFTg5mZlYwMMlB0lJJj0naJuljbebvI+kraf4DkuaXH2VnXZThQknPSHoovd5bRZyjkXStpKcl/XiU+ZJ0ZSrfVkkLy46xky7iXyJpe+7z/0TZMXYi6TBJd0n6iaRHJH2wzTJ13wbdlKG220HSdEnfl7QlxX9Zm2XqsS+KiL5/AVOAfwNeAUwDtgDHjljmz4E1afgc4CtVx70XZbgQ+MeqY+1QhtOBhcCPR5m/DLgdEHAy8EDVMY8z/iXAhqrj7BD/XGBhGt4P+Nc236G6b4NuylDb7ZA+15lpeBh4ADh5xDK12BcNypnDScC2iHg8Iv4PuBFYPmKZ5cCX0vBXgTdLUokxjqWbMtRaRNwN/EeHRZYD6yKzCZgtaW450Y2ti/hrLSKeiogH0/B/A48Ch4xYrO7boJsy1Fb6XHek0eH0GnlVUC32RYOSHA4BfpEbf5LiF2r3MhGxE9gOHFRKdN3ppgwAb0/VAV+VdFg5oU2abstYZ6ekKoPbJR1XdTCjSVUVJ5IdueY1Zht0KAPUeDtImiLpIeBp4NsRMeo2qHJfNCjJYVDcCsyPiBOAb7Pn6MPK8SBZXzWvAT4PfKPieNqSNBO4BfhQRDxfdTx7Y4wy1Ho7RMSLEbEAOBQ4SdLxVcfUzqAkh18C+aPoQ9O0tstImgrsDzxXSnTdGbMMEfFcRLyQRq8BFpUU22TpZjvVVkQ836oyiIjbgGFJcyoO63dIGibbqX45Ir7WZpHab4OxytCE7QAQEf8F3AUsHTGrFvuiQUkOPwCOlnSEpGlkjTzrRyyzHrggDa8A7ozUIlQTY5ZhRN3w2WT1sU2yHjg/XTFzMrA9Ip6qOqhuSXp5q25Y0klkv6/aHGCk2L4APBoRfz/KYrXeBt2Uoc7bQdLBkman4X2BPwB+OmKxWuyLppa9wipExE5JFwF3kF31c21EPCLpk8DmiFhP9oW7TtI2skbHc6qLuKjLMqyWdDawk6wMF1YWcBuSbiC7kmSOpCeBvyFrkCMi1gC3kV0tsw34DbCymkjb6yL+FcCfSdoJ/C9wTs0OME4DzgMeTnXeAH8FzINmbAO6K0Odt8Nc4EuSppAlrZsiYkMd90XuPsPMzAoGpVrJzMzGwcnBzMwKnBzMzKzAycHMzAqcHMzMrMDJwWpBUki6Ijd+iaRLS45ho6TFafi21vXoE3i/JZI2jDI932vodyayHrNecHKwungBeNve3sma7iSdNBGxLN3B2iv3RMSC9DojP2Oyy2K2N5wcrC52kj0/98MjZ0iaL+nO1KHgdyXNS9PXSloj6QHg8jR+laRNkh5PR+jXSnpU0trc+10lafNo/emnZZ6QNEfS+3NH+D+XdFea/xZJ90t6UNLNqa+f1jM3firpQeBt3RZe2bM41ku6E/iupBkp9u9L+pGk5Wm5fSXdmMr0dWX9/bfOdnbk3m9Fq8zprtxbJP0gvU5L0y9N69iYPq/Vuf8/P33eWyRdJ2m/VP7hNH9Wftz6UBX9hPvl18gXsAOYBTxB1pfMJcClad6twAVp+N3AN9LwWmADMCU3fiNZn/nLgeeB3yc7CPohsCAtd2D6OwXYCJyQxjcCi9PwE8CcXHzDwD3AHwJzgLuBGWneR4FPANPJetM8OsVwE22eK0B2l/V24KH0+jjZ3exP5mL7NHBuGp5N9tyCGcBfkN0dD3ACWVJtxbwjt44VwNo0fD3w+jQ8j6zrCYBLgfuAfVKZnkvlPC6tb86Iz+uLwB+l4VXAFVV/b/zq3cunr1YbEfG8pHXAarJuD1pOYc9R+HXA5bl5N0fEi7nxWyMiJD0M/DoiHgaQ9Agwn2xn/E5Jq8i6j5kLHAtsHSO8z5H1cXOrpLPS/9ybuvCZBtwPHAP8PCJ+ltb5z2Q70XbuiYizWiOSLiTrvrn1vIi3AGdLuiSNTyfbsZ8OXAkQEVsljRU3wBnAsdrzSIBZrTMd4JuRddb4gqSngZcBbyL7XJ9N62nFdA3wEbJeTlcC7+ti3dZQTg5WN/9A1uXyF7tc/n9GjLd6pd2VG26NT5V0BNlZyWsj4j9T1cv0TitIO+7DgYtak8h25O8asdyCLmMeTb4sAt4eEY+NWEen/8/3hZMv0xDZ08Z+2+a98p/Ri3TYJ0TEvamKbwnZ2Vrbx6Vaf3Cbg9VKOkq9CXhPbvJ97Ol87E/Iqnf21iyynfB2SS8Dzuy0sKRFZMnk3IjYlSZvAk6TdFRaZoakV5L1rjlf0pFpuXcV3rB7dwAXS7t7Fz0xTb8b+OM07XiyqqWWX0t6taQh4K256d8CLs6VaawkdifwDkkHpeUPzM1bR1ZN1W3ytoZycrA6uoKsDrzlYmBlqkI5Dyg8VL5bEbEF+BHZjvx64N4x/uUi4EDgrtQofU1EPEPWRnBDiul+4Jh0ZL4K+GZqkH56b+MEPkVW/781VYl9Kk2/Cpgp6VHgk2RtKS0fI2uDuQ/Id7O9GlicGph/Ary/04oj4hHg74B/kbQFyHeN/WXgAOCGvS2YNYN7ZTVrMEkbgUsiYnNJ61sBLI+I88pYn1XHbQ5m1hVJnyerhltWdSzWez5zMDOzArc5mJlZgZODmZkVODmYmVmBk4OZmRU4OZiZWcH/A09HDwZiAAAAA0lEQVQgq1zuqXC/AAAAAElFTkSuQmCC\n",
- "text/plain": [
- ""
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "import numpy as np\n",
- "import matplotlib.pyplot as plt\n",
- "import scipy.optimize as opt\n",
- "import scipy.signal as sig\n",
- "\n",
- "ntaps = 64\n",
- "N = 4\n",
- "\n",
- "#optimize for 16 filter coefficients:\n",
- "xmin = opt.minimize(optimfuncQMF, ntaps*np.ones(ntaps), method='SLSQP', tol=1e-8)\n",
- "xmin = xmin[\"x\"]\n",
- "\n",
- "err = optimfuncQMF(xmin)\n",
- "print(err)\n",
- "\n",
- "#Restore symmetric upper half of window:\n",
- "h = np.concatenate((xmin, np.flipud(xmin)))\n",
- "plt.plot(h)\n",
- "plt.title('Resulting PQMF Window Function')\n",
- "plt.xlabel('Sample')\n",
- "plt.ylabel('Value')\n",
- "plt.show()\n",
- "\n",
- "f, H = sig.freqz(h)\n",
- "plt.plot(f, 20*np.log10(np.abs(H)))\n",
- "plt.title('Resulting PQMF Magnitude Response')\n",
- "plt.xlabel('Normalized Frequency')\n",
- "plt.ylabel('dB')\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 56,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- ""
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "N = 4\n",
- "f, H_im = sig.freqz(h)\n",
- "posfreq = np.square(H[0:512//N])\n",
- "negfreq = np.flipud(np.square(H[0:512//N]))\n",
- "plt.plot((np.abs(posfreq) + np.abs(negfreq)))\n",
- "plt.xlabel('Frequency (512 is Nyquist)')\n",
- "plt.ylabel('Magnitude')\n",
- "plt.title('Unity Condition, Sum of Squared Magnitude of 2 Neighboring Subbands')\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 57,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "b = sig.firwin(80, 0.5, window=('kaiser', 8))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 58,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- ""
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "f, H_im = sig.freqz(h)\n",
- "posfreq = np.square(H[0:512//N])\n",
- "negfreq = np.flipud(np.square(H[0:512//N]))\n",
- "plt.plot((np.abs(posfreq) + np.abs(negfreq)))\n",
- "plt.xlabel('Frequency (512 is Nyquist)')\n",
- "plt.ylabel('Magnitude')\n",
- "plt.title('Unity Condition, Sum of Squared Magnitude of 2 Neighboring Subbands')\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 79,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "(63,)"
- ]
- },
- "execution_count": 79,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "b.shape"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 102,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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6z2ouJq54GVx2A8Uhr6e5aUMiIuOA54DvqOrbwXRV3auOLuD3OM1vxsSNbfVtEau1gNOpXzYxx2ouJq54GVxWAWUiMkNEUoGlwPKhHOju/zTwoKo+EbZtsvtTgEuAdyOaa2NGoTegVNa3HW7KipRZE7MPN7cZEw88Cy6q6gduAFYAm4FlqrpJRG4TkYsBRGSBiNQCnwN+IyKb3MMvB84Eru1jyPHDIrIR2AhMAG6PYbGMGVDt/g66/AHKinIiet6ZRTk0t3fT1GYjxkx8iEyj7wip6vPA82Fpt4Y8X4XTXBZ+3EPAQ/2c85wIZ9OYiAk2Xc2McM2lzG1m21rXxunZfY5hMSamErpD35hEE1zzviyCfS4As9zhyJXWqW/ihAUXY2Kosq6Nybnp5KSnRPS8E8elkZPms34XEzcsuBgTQ5EeKRYkIsycmM3WOqu5mPhgwcWYGAkcHikW2c78oFlFOVRazcXECQsuxsTI7pZDHOrpjXh/S1DZxGwa27ppbu+OyvmNGQ4LLsbESPAO+rIIjxQLCja3bbOmMRMHLLgYEyNbg8OQI3yPS9CswxNYWtOY8Z4FF2NiZFtdGxPHpZGbEdmRYkGTc9PJTvNZzcXEBQsuxsTItvrWqHXmgztirMimgTHxwYKLMTEQHCkWjWHIocosuJg4YcHFmBjYc+AQHd29EZ9TLFzZxGwaWrto6bARY8ZbFlyMiYHgnGKRng05XJl16ps4YcHFmBgIDkOORbMYYHfqG89ZcDEmBrbVtVGYk0ZeZmpUrzMlN4PM1GRbOMx4zoKLMTGwNQoLhPUlKUkoK8q2aWCM5yy4GBNlqkplXWvUO/ODZhblWLOY8ZwFF2OibO+BTtq7e6Pe3xJUNjGb+tYuDnT0xOR6xvTFgosxURasRUTzBspQwea3bbZwmPGQBRdjoizY/xGt2ZDDBZvfbDiy8ZIFF2OibFtdGxOyU8nPiu5IsaCpeRlkpNiIMeMtT4OLiCwWkS0iUikiN/ex/UwRWSMifhG5LGzbNSKyzX1cE5J+qohsdM/5cxGRWJTFmP5srY9dZz44I8acOcasWcx4x7PgIiLJwD3A+cAc4EoRmRO22y7gWuCRsGPHA98HFgELge+LSL67+VfA/wXK3MfiKBXBmEE5I8XaoraGS3/KimzJY+MtL2suC4FKVd2hqt3AY8CS0B1UtUpVNwCBsGM/Bbykqs2quh94CVgsIpOBcar6tqoq8CBwSdRLYkw/Gtu6ae3yc8yErJhe99iibOoOdtHR7Y/pdY0J8jK4TAVqQl7XummjOXaq+3zQc4rI9SJSISIVDQ0NQ860McNR3dQOQGmMg0tJQaZ7/Y6YXteYoKO2Q19V71XVclUtLyws9Do7Zoza2egGl4LYBpfg9arc6xsTa14Gl91AccjraW7aaI7d7T4fyTmNibjqpg6Sk4Sp+Rkxve50t+ZSZTUX4xEvg8sqoExEZohIKrAUWD7EY1cAnxSRfLcj/5PAClXdCxwUkdPcUWJXA89EI/PGDEVVUzvT8jNISY7tv9q49BQKslIPN8sZE2ueBRdV9QM34ASKzcAyVd0kIreJyMUAIrJARGqBzwG/EZFN7rHNwH/gBKhVwG1uGsBXgPuASmA78EIMi2XMEaqbOmLeJBZUOiGLKgsuxiM+Ly+uqs8Dz4el3RryfBVHNnOF7nc/cH8f6RXA3Mjm1JjhU1Wqmto5ZXqeJ9cvKcjkre1NnlzbmKO2Q9+YaNvf0UNrp58Sr2ouBVnsPdBJZ0+vJ9c3RzcLLsZEyeGRYhMyPbm+DUc2XrLgYkyUBDvTvay5ANbvYjxhwcWYKKlq6iBJoDjfm5pLMLjYiDHjBQsuxkRJdVM7U/MzSPV582+Wm5lCfmaK3etiPGHBxZgoqfJwGHJQSUGW1VyMJyy4GBMl1U3thzvVvVJakElVo9VcTOxZcDEmClo6umnp6ImLmsueA4dsOLKJOQsuxkRBsJ/Dq5FiQaUTMlGF2v1WezGxZcHFmCg4PNW+x81iJYdnR7bgYmLLgosxUVDV2IEIFI/3NrjMsHtdjEcsuBgTBdVN7UzJzSA9JdnTfORlpjAu3Wd36ZuYs+BiTBTsjIORYgAiYrMjG09YcDEmCqqbOjzvzA8qKbDgYmLPgosxEXbgUA/N7d2ed+YHlRZksnv/Ibr9Aa+zYo4iFlyMibBdcTIMOaikIIuADUc2MWbBxZgICzZBzZgQH8FlxgSbet/EngUXYyIseI/LdI+HIQeV2HBk4wELLsZE2M7GDiaNSycj1dthyEEFWalkp/moarTgYmLH0+AiIotFZIuIVIrIzX1sTxORx93tK0Wk1E2/SkTWhTwCIjLP3faqe87gtqLYlsoc7eJhwspQIkJJQaZNvW9iyrPgIiLJwD3A+cAc4EoRmRO223XAflWdCdwN3AWgqg+r6jxVnQd8AdipqutCjrsquF1V66NeGGNCxMNU++FKbep9E2Ne1lwWApWqukNVu4HHgCVh+ywBHnCfPwF8QkQkbJ8r3WON8Vxbl5/Gti5KJsRPzQWgpCCT2v2H6Om14cgmNrwMLlOBmpDXtW5an/uoqh84ABSE7XMF8GhY2u/dJrHv9RGMjImaYO1gRrzVXCZk4Q8oe1oOeZ0Vc5RI6A59EVkEdKjquyHJV6nqicDH3McX+jn2ehGpEJGKhoaGGOTWHA2q4+wel6DSwyPGrN/FxMaQg4uIRLqevxsoDnk9zU3rcx8R8QG5QFPI9qWE1VpUdbf7sxV4BKf57UNU9V5VLVfV8sLCwlEUw5gP7HRHZMVThz58MPW/jRgzsTJocBGRj4jIe8D77uuTReSXEbj2KqBMRGaISCpOoFgets9y4Br3+WXAK6qqbj6SgMsJ6W8REZ+ITHCfpwAXAu9iTIxUN7VTmJNGVprP66wcoTAnjYyUZLvXxcTMUP4D7gY+hfvBr6rrReTM0V5YVf0icgOwAkgG7lfVTSJyG1ChqsuB3wF/FJFKoBknAAWdCdSo6o6QtDRghRtYkoGXgd+ONq/GDJUzUiy+ai3wwXBku0vfxMqQvl6pak1Yv3hEFuRW1eeB58PSbg153gl8rp9jXwVOC0trB06NRN6MGYnqpnY+VhafzaylBVlsrWv1OhvmKDGUPpcaEfkIoCKSIiI3AZujnC9jEk5Ht5+6g11xM6dYuNIJWdTs76A3oF5nxRwFhhJcvgx8FWdY8G5gnvvaGBPig5Fi8dcsBk6nfk+vDUc2sTFos5iqNgJXxSAvxiS04D0u8XZ3flDoBJbFcTKpphm7Bg0uIvJ74EP1aFX9P1HJkTEJKngPyfR4rbm4swZUNXXwsTKPM2PGvKF06P855Hk6cCmwJzrZMSZxVTe1U5CVyrj0FK+z0qeJOemk+ZKotntdTAwMpVnsydDXIvIo8GbUcmRMgqpq7Ijb/haApCSbHdnEzkimfykDbBp7Y8JUN7VTGqcjxYJsdmQTK0Ppc2nF6XMR9+c+4FtRzpcxCaWzp5c9BzrjtjM/qHRCFq9ubSAQUJKSbE5XEz1DaRbLiUVGjElku5rjexhyUElBJt3+AHsPdjI1L8Pr7JgxrN/gIiKnDHSgqq6JfHaMSUzBCSHjvubi5q+6sd2Ci4mqgWou/98A2xQ4J8J5MSZhBW+gjPfgEqxZVTV18JGZHmfGjGn9BhdV/XgsM2JMIqtqaicvM4XczPgchhw0OTeD1OQk69Q3UTekiStFZC7OOvfpwTRVfTBamTIm0VQ3dcR9rQUgOUmYXpBpU++bqBvKaLHvA2fjBJfngfNx7nOx4GKMa2djOwtK873OxpCU2tT7JgaGcp/LZcAngH2q+kXgZJwVIY0xQJe/lz0HDsXd0sb9KSnIoqqpHXfdPWOiYijBpVNVA4BfRMYB9Ry5PLExR7Wa5kOofjB3V7wrLciksydA3cEur7NixrB+g4uI3CMiZwDviEgezoqOq4E1wFsxyp8xcS/YOZ5INRfA+l1MVA3U57IV+DEwBWgHHgXOA8ap6oYY5M2YhFCVIMOQgw7f69LUzmnHFHicGzNW9VtzUdWfqerpOGvVNwH3Ay8Cl4qITdhtjKuqsZ1x6T7y43wYctCUvHRSksUmsDRRNWifi6pWq+pdqjofuBK4BHg/6jkzJkFUuRNWiiTGXF2+5CSK8zPtXhcTVYMGFxHxichFIvIw8AKwBfhMJC4uIotFZIuIVIrIzX1sTxORx93tK0Wk1E0vFZFDIrLOffw65JhTRWSje8zPJVH+403Cqm7qSJj+lqCSgkyqGq3mYqJnoA7980TkfqAW+L/Ac8CxqrpUVZ8Z7YVFJBm4B+e+mTnAlSIyJ2y364D9qjoTuBu4K2TbdlWd5z6+HJL+Kze/Ze5j8Wjzakx/uv0Bavd3UBrnE1aGK3Gn3rfhyCZaBqq53AL8AzheVS9W1UdUNZL16IVAparuUNVu4DFgSdg+S4AH3OdPAJ8YqCYiIpNxBhy8rc5/zYM4zXjGRMXulkMENHFGigWVFmTS3t1LQ5sNRzbRMVCH/jmqep+q7o/StacCNSGva920PvdRVT9wAAgOb5khImtF5DUR+VjI/rWDnBMAEbleRCpEpKKhoWF0JTFHreBw3oSruUwIjhizpjETHSNZiTIe7AWmu4MMbgQecW/wHDJVvVdVy1W1vLCwMCqZNGPf4an243wFynAzgve6NFqnvokOL4PLbo6803+am9bnPiLiw5l2pklVu1S1CUBVVwPbgVnu/tMGOacxEVPd1EF2mo+CrFSvszIsU/MzSE4Sq7mYqPEyuKwCykRkhoikAkuB5WH7LAeucZ9fBryiqioihe6AAETkGJyO+x2quhc4KCKnuX0zVwOjHnxgTH+qmtopKchMmGHIQSnJSUzLz7C79E3UDGnK/WhQVb+I3ACsAJKB+1V1k4jcBlSo6nLgd8AfRaQSaMYJQODc2HmbiPQAAeDLqtrsbvsK8AcgA2fo9AuxKpM5+lQ3dTBn8rBaZOOGM2LMai4mOjwLLgCq+jzONP6habeGPO8EPtfHcU8CT/ZzzgpgbmRzasyH+XsD1DR3cP7cSV5nZURKCzJZu2s/qppwNS8T/xK1Q98Yz+1p6cQf0ISZUyxcSUEWrZ1+mtu7vc6KGYMsuBgzQjsPz4acWMOQg4LDp22OMRMNFlyMGaHg3FwzEmwYclDphA9mRzYm0iy4GDNCVY0dZKQkU5iT5nVWRmRafgZJYjUXEx0WXIwZoeoEHYYclOZLZkpehtVcTFRYcDFmhHY2tidsZ37QjAlZ7LS79E0UWHAxZgS6/L1UN3cwsyjb66yMyrGF2VTWt9nsyCbiLLgYMwJVjR30BpSyiYkdXGYWZdPR3cueA51eZ8WMMRZcjBmByvo2wPnmn8iCNa9geYyJFAsuxozAtvpWRBI/uJS5wWVbXavHOTFjjQUXY0agsr6NafkZZKQme52VUSnITiM/M4XtDVZzMZFlwcWYEaisb6OsKMfrbEREWVEO2+osuJjIsuBizDD5ewPsaGxP+JFiQccWZbPNRoyZCLPgYsww1ew/RLc/MGaCS1lRNgcO9dDYZhNYmsix4GLMMAVHVpWNleAy0UaMmciz4GLMMG2rd0ZWHTtGgssHw5FtxJiJHAsuxgxTZX0bk8alMy49xeusRMSkcelkp/ms5mIiyoKLMcNUWd82ZvpbAETkcKe+MZFiwcWYYVDVMRdcwOk/spqLiSQLLsYMw54DnXR094654DKzKJv61i4OHOrxOitmjPA0uIjIYhHZIiKVInJzH9vTRORxd/tKESl1088TkdUistH9eU7IMa+651znPopiVyIz1o21kWJBZTbHmIkwz4KLiCQD9wDnA3OAK0VkTthu1wH7VXUmcDdwl5veCFykqicC1wB/DDvuKlWd5z7qo1YIc9QJzsE1FmsuYCPGTOR4WXNZCFSq6g5V7QYeA5aE7bMEeMB9/gTwCRERVV2rqnvc9E1Ahogk5lqzJqFsb2hjfFYqBdlj6+02LT+TNF+STQNjIsbL4DIVqAl5Xeum9bmPqvqBA0BB2D6fBdaoaldI2u/dJrHvST9r0IrI9SJSISIVDQ0NoymHOYpsq2tjZoLPhNyX5CThmMJsKm0CSxMhCd2hLyIn4DSVfSkk+Sq3uexj7nXtQTkAABl0SURBVOMLfR2rqveqarmqlhcWFkY/sybhqSqVDW3MTPAFwvpTVpRtNRcTMV4Gl91AccjraW5an/uIiA/IBZrc19OAp4GrVXV78ABV3e3+bAUewWl+M2bUmtq7aenoGZM1F3D6XXa3HKKj2+91VswY4GVwWQWUicgMEUkFlgLLw/ZZjtNhD3AZ8IqqqojkAc8BN6vq34M7i4hPRCa4z1OAC4F3o1wOc5QIfqtP9KWN+xMcMba9vt3jnJixwLPg4vah3ACsADYDy1R1k4jcJiIXu7v9DigQkUrgRiA4XPkGYCZwa9iQ4zRghYhsANbh1Hx+G7tSmbEs2B8x1kaKBR0eMdZgI8bM6Pm8vLiqPg88H5Z2a8jzTuBzfRx3O3B7P6c9NZJ5NCaosq6V7DQfk8ale52VqCgpyMKXJNbvYiIioTv0jYmlyoY2ji3Kpp8BiAkv1ZdESUGm3UhpIsKCizFDtK2ubczdmR+urCjHgouJCAsuxgzBgUM91Ld2jdn+lqCZRdlUN3fQ5e/1OismwVlwMWYIxuqcYuHKJmbTG1CqGju8zopJcBZcjBmC7fVje6RY0LGFNoGliQwLLsYMwbb6VtJ8SUzLz/Q6K1F1bGE2Ih8s5WzMSFlwMWYItta1cUxhNslJY3OkWFBGajLF+Zk2HNmMmgUXYwahqmyobeHEqeO8zkpMzJ06jvW1LV5nwyQ4Cy7GDKK6qYP9HT3Mn57vdVZiYn5xPrX7D9HQ2jX4zsb0w4KLMYNYV+N8i59XnOdxTmJj3nSnnMFyGzMSFlyMGcTaXfvJTE1m1sQcr7MSE3On5OJLEtbu2u91VkwCs+BizCDW1bRw0rTcMd+ZH5SRmszsyTlWczGjYsHFmAF09vTy3t6DR01/S9D84nzW17TQG1Cvs2ISlAUXYwawac9BenqV+UdJf0vQ/Ol5tHf32s2UZsQsuBgzgGC/Q7CT+2gRHLxg/S5mpDxdz8WMbYGAs+b86ur9dPX0UpiTTtG4NAqz0ygal0Zmavy//dbVtDA1L4OinLG5hkt/ZkzIIjcjhXU1LSxdON3r7AyqvctPfWsXDa1d1Ld2Un+wi+w0H6eU5HNsYdaYXSYhnsX/f7dJKO/uPsBrWxuoqGpmza4WDhzq6Xff048p4DsXHM/cqbkxzOHwrN3VctTVWgBEhHnFeazdFd+d+mt27eeO5zazurr/GlZ+ZgqnluRTXjqejx9XxHGTjo5Rf16z4GJG7UBHD8+s381j79Tw3t6DgDPB4/lzJx3+px6X7qOhrYv6g863y+rmDh56u5qLfvEmnz1lGjd98jgm5cZX7aC+tZPdLYf44kdLvc6KJ+ZPz+Nnf91GW5ef7LT4+qio3d/Bj17cwvL1eyjMSePG82YxLT+Dwpw0inLSKcxJY39HNxVVzVRU7Wd19X5e3lzPnS+8z8nFeSxdUMyFJ00mJz3F66KMWfH1jjEJQ1V5e0czj6/axQvv7qPLH+CEKeO4bckJXHDiZAqy0z50TEF2GrMnffD6ujNm8Mu/VfL7v1fx3Ia9fOmsY/jyWceSnpIcw5L0b537rX3+UVhzAaffRRU21LTwkZkTvM4O4DR/3fO3Su57cydJAl87ZyZfOutYsvoIfuOzUjm2MJsrFjjNevWtnTy7fi/LVtVwy1Mbue3Z97jgpMksXVDMqSX51nQWYRZczLA0tnXxxOpaHl9Vw87GdnLSfVxeXswVC4qH3byVm5HCLZ8+nqsWlXDXi+/z05e38c7OZu6/dkFcBJi1NS2kJAsnTInfZrtoOtypHyfBpb3Lz+d/t5K1u1r4zPyp3PSp45iSlzHk44ty0rnujBn8n4+Wsq6mhWUVNSxft4cnVtdSVpTN0oXT+cz8qeRnpUaxFEcPUfVuHLuILAZ+BiQD96nqnWHb04AHgVOBJuAKVa1yt90CXAf0Al9T1RVDOWdfysvLtaKiIlLFGnM6uv28sa2RZ9bt5i+b6vAHlAWl+SxdMJ1PnziZjNTIBIKn1tRy47L1fHLORH551Sn4kr0dzHjlvW/T3u1n+Q1neJoPL53zk1c5pjCb+64p9zQfXf5e/vmBCv5e2cgvrzqFxXMnR+S87V1+ntuwl0fe2cW6mhZSk5NYPHcSS+ZN4aMzJ8TFl5x4JiKrVbXPN4dnNRcRSQbuAc4DaoFVIrJcVd8L2e06YL+qzhSRpcBdwBUiMgdYCpwATAFeFpFZ7jGDnTNiVBVVUCBw+Ln7M+R5QBXFSXMODPk9JEGyCEkiiIAvSTz/UAWoO9jJy5vr+Ovmet6sbKTbHyA/M4VrP1LK0oXFzCyKfKfoZ06ZRmunn+8v38S3ntzIjy87iSSP7orvDTgzIV926jRPrh8v5k3P4/WtDaiqZ81GvQHl64+t441tjfz4spMiFlgAstJ8XL6gmMsXFLN570Eee2cXT6/dzfL1e0hPSeJjZYWcd/xEPj67iMKcDzf1xpKq0htQ/AEloEog+NkSCNnJ/ROJOE+DnyuC+9N9niTOoA0J7huFv62XzWILgUpV3QEgIo8BS4DQQLAE+IH7/AngF+L8FpYAj6lqF7BTRCrd8zGEc0bMb17fwZ0vvB/x8yYJpPqSSE1OItWXTEZqElmpPrLTfGSl+chKS2Zcegq5mSnkZvT/yElP6XfKElWlyx+gtdNPU3sXW/a1smVfK1vrWnl/Xyu1+w8BUDw+g88vKuHcOUUsKB1PSpQD3zUfKeXAoR7++6WtjMvwceuFczz5UNtW30p7d+9ROVIs1PziPJ5as5va/YcoHh/7hdJUlW8/tZEX3t3H9y6cw+fKi6N2reMnj+OHS+by7QuOZ+WOZl7eXMfL79Xx0nt1AEwfn8lxk3KYPSmHWROdx/isVHLSfaT5kvp9n/YGlIOHejjgPg52Oj9bOtzXIeltXb20d/mdR7efQ929dPkDdPsDdPcGiEZD0+2XzOXzp5VE/LxeBpepQE3I61pgUX/7qKpfRA4ABW7622HHTnWfD3ZOAETkeuB6gOnTRzaOv7wkn6+fW+Z8O+DIbwDBbwxJId8a3Os6P8GtzXzwLaQ34HwzCb6Ruv0BuvwBDnX7ae923nQtHd3U7vdzsNPPgUM9dPsDfeYtKCVZ3CDlPHxJSXR0+2nt9OMPm9rDlyQcU5jF/On5fP60Es6ZXURZUXbMP9z/5ZyZtHT0cP/fd5KXkcq/nlsW0+sDh4fgzi8+uqZ9CRec9mZtTUvMg4uq8p/Pb+bxihq+9okyrjtjRkyum+ZL5sxZhZw5q5AfXnwC7+09yKtbGnhvz0G21LXyyvv1H5oWJyVZyE7zkZnqwx9wg4H7f9zTO3BESPMlkZuRwriMFLLSfGSnJTM+K5PsNB/pKcmkuf+7wf/j5CRxHsFaifv5c7hhxI1AwdaTgNuSEjicHmxRcbafNC06fYpHbYe+qt4L3AtOn8tIzlFeOp7y0vERzddwdfb0Hv4GFPotKPhN6PC3HvfhDyhZaclkp/nITveRk+YjNzOVsqJsji3MJtXnfZOciPDdC47nYGcPd7+8lWn5GXw2xs1T63a1kJ+ZQknB2F7WeDDHTcohzZfEul0tXHzylJhe+6G3q/ntGzu59iOl/JsHXzDAeS+eMCX3iEEdnT29bG9oo7K+jYOHejjY6aety09bp1PbSEn64Mtcmi+JNF8y4zJ8TgDpo8VhrPbreBlcdgOhddxpblpf+9SKiA/IxenYH+jYwc45pqSnJDMpNznu7hEZraQk4c7PnMiu5g5+sHwTpx9bMKyRQaO1tmY/84rzjvrhqSnJSZw0LZe1NbGdBmZHQxt3PL+Zs48r9KxptD/pKckfCjjmw7z8mroKKBORGSKSitNBvzxsn+XANe7zy4BX1KnzLQeWikiaiMwAyoB3hnhOkyB8yUn85LKT6VXlW09uIFYjG1s7e9hW38a8o7xJLGhecR6b9hyky98bk+v1BpSb/nc9ab5k7vqsd4M6zOh4FlxU1Q/cAKwANgPLVHWTiNwmIhe7u/0OKHA77G8EbnaP3QQsw+mofxH4qqr29nfOWJbLRNb0gky+/enjeWNbIw+v3BWTa26oPYDq0XvzZLj50/Pp9gfYvLc1Jtf77Rs7WLOrhduWnMDEcWOrRn408bTPRVWfB54PS7s15Hkn8Ll+jr0DuGMo5zSJ7apF01mxaR//+fxmziwrZHqU+0GCi2SdfJRNs9+f4M2U63btj/pSz1vrWvnvv2xl8QmTYt7HYyLL+95bYwYhItz12ZNIFuGmJ9YTiPICVq9vbWDWxGxyM2zeKYDJuelMzcvg9W2NUb1OT2+AG5etIyfdx+2Xzo2rfhYzfBZcTEKYkpfBrRfN4Z2dzfz+H1VRu87ulkOs3NnMRSfZt+YgEeHCkybz+tYGmtq6onadX/5tO+/uPsgdl85lQh9z05nEYsHFJIzLTp3GJ2YX8aMX32d7Q3RWSHxmnTO48JL5UwfZ8+hyyfyp+APKcxv3RuX8m/Yc4H9e2caSeVMiege+8Y4FF5MwRIT/+syJpPmS+M7TGyM+ekxVeXrNbhaU5ntyN3o8O37yOGZPyuGpNZEf2d8bUG55aiN5man88OITIn5+4w0LLiahFI1L5+bzj+ftHc08sbo2oufetOcg2+rbrNbSj0vnT2VdTQs7G9sjet4H36piQ+0Bbr1oDnmZNiPxWGHBxSScpQuKKS/J547nN0e0D+DptbtJTU7ighOtWaYvF8+bggj8aW3kai97Wg7xkxVbOGtWIRedZL/3scSCi0k4SUlO81h7l587ntsckXP6ewMsX7+Hj88utG/P/Zicm8FHji3gT+t2R6xJ8gfLN9Gryu2X2OiwscaCi0lIZRNz+NKZx/LU2t28GYEhsv/Y3kRDaxeXWpPYgC6ZN5Xqpg7WuBN7jsaKTfv4y3t1fP3cWdbHNQZZcDEJ64ZzZlJakMl3/7SRzp7RTU3y9NrdjEv38fHZRRHK3di0eO4k0nxJo24aa+vy8/1nNjF7Uk7MZjs2sWXBxSSs9JRk7rj0RKqaOvjFK5UjPk97l58X393HBSdNIc03NmeojZSc9BQ+ecIknt2wZ9DlHgbykxVbqGvt5L8+c2LU1wgy3rC/qkloH505gc/Mn8qvX9vOxtoDIzrHX97bx6GeXmsSG6JL50+hpaOH17Y2jOj4VVXNPPBWFV84reTwejFm7LHgYhLedy+cQ1FOGl9+aDXN7d3DPv7ptXuYmpdBeYl90A3Fx8oKKchKHVHTWN3BTr7y8BpKxmfyjU8dF4XcmXhhwcUkvPFZqfzq86fS0NbFvzy6Bn/v0Jtr6ls7eXNbA5fOn2pTuw9RSnISF508hZc213Gws2fIx3X7A/y/h1bT3uXn3qvLyUm3udvGMgsuZkw4uTiP25fM5e+VTfx4xZYhH/fQW9UEFC6Zb3OJDccl86fS7Q/w6DCWQfjhs5tYs6uFH192MrMm5kQxdyYeWHAxY8blC4r5/GnT+c3rO/jzhj2D7v/Ht6r4+SuVXHDSZGYW2YfdcJw8LZezjyvkzhff58khzJTw+KpdPLxyF18+61gusJsljwoWXMyYcuuFJ3BqST7ffGIDW/b1v7jVIyt38b1nNnHu8UXcffm8GOZwbBARfv35Uzn9mAJuemL9gP0v62pa+N6fNvGxsgnWz3IUseBixpRUXxK/vOoUstJ8/PODq1i+fs+H7oF5fNUuvv30Rs6ZXcQ9V51Cqs/+DUYiPSWZ312zgEUzxnPjsnUsX39kbfFQdy9Pranly39cTdG4NH6+dD7J1q911JBYrUsez8rLy7WiosLrbJgIWrNrP//yyFp2txxiXLqPS+ZP5fLyYjbvPcg3n9zAmWWF/OYLp5KeYve1jFZHt59r71/F6l37+dnSeUzNy2BZRS3Prt9DW5ef0oJMfnnVqcyZMs7rrJoIE5HVqlre5zYLLhZcxqpAQPnH9iaWVdTw4qZ9h2/6+1jZBH57dbkFlghq7/Jzzf3vUFG9H4D0lCQ+feJkLi8vZtGM8TZv2BgVd8FFRMYDjwOlQBVwuaru72O/a4Dvui9vV9UHRCQT+F/gWKAXeFZVb3b3vxb4MRBsAP6Fqt43WH4suIx9Bzp6WL5+N1VNHXzjU8dZYImCti4/P1mxheMm5XDhSZNtqPFRIB6Dy4+AZlW9U0RuBvJV9Vth+4wHKoByQIHVwKlAF7BIVf8mIqnAX4H/VNUX3OBSrqo3DCc/FlyMMWb4BgouXvVkLgEecJ8/AFzSxz6fAl5S1Wa3VvMSsFhVO1T1bwCq2g2sAabFIM/GGGOGyKvgMlFVg4tx7wMm9rHPVKAm5HWtm3aYiOQBF+HUXoI+KyIbROQJESmOYJ6NMcYMkS9aJxaRl4FJfWz6TugLVVURGXbbnIj4gEeBn6vqDjf5WeBRVe0SkS/h1IrO6ef464HrAaZPnz7cyxtjjBlA1IKLqp7b3zYRqRORyaq6V0QmA/V97LYbODvk9TTg1ZDX9wLbVPWnIddsCtl+H/CjAfJ3r3sOysvLbcicMcZEkFfNYsuBa9zn1wDP9LHPCuCTIpIvIvnAJ900ROR2IBf4eugBbqAKuhiIzBq4xhhjhsWr4HIncJ6IbAPOdV8jIuUich+AqjYD/wGsch+3qWqziEzDaVqbA6wRkXUi8s/ueb8mIptEZD3wNeDaWBbKGGOMw26ixIYiG2PMSMTjUGRjjDFjmNVcABFpAKpHePgEoDGC2fGClSF+jIVyWBniQyzKUKKqhX1tsOAySiJS0V+1MFFYGeLHWCiHlSE+eF0GaxYzxhgTcRZcjDHGRJwFl9G71+sMRICVIX6MhXJYGeKDp2WwPhdjjDERZzUXY4wxEWfBxRhjTMRZcBkFEVksIltEpNJd9Czuicj9IlIvIu+GpI0XkZdEZJv7M9/LPA5GRIpF5G8i8p473c+/uukJUw4RSReRd0RkvVuGH7rpM0RkpfueetxdEC+uiUiyiKwVkT+7rxOqDCJSJSIb3amkKty0hHkvgbP8iLvMyPsisllETve6DBZcRkhEkoF7gPNx5jm7UkTmeJurIfkDsDgs7Wbgr6pahrM2TrwHSj/w76o6BzgN+Kr7u0+kcnQB56jqycA8YLGInAbcBdytqjOB/cB1HuZxqP6VIyeJTcQyfFxV54XcF5JI7yWAnwEvqups4GScv4e3ZVBVe4zgAZwOrAh5fQtwi9f5GmLeS4F3Q15vASa7zycDW7zO4zDL8wxwXqKWA8jEWVF1Ec4d1T43/Yj3WDw+cJbC+CvOukl/BiQBy1AFTAhLS5j3Es4M8TtxB2jFSxms5jJyg66UmUCGsjJoXBKRUmA+sJIEK4fbnLQOZz2jl4DtQIuq+t1dEuE99VPgm0DAfV1A4pVBgb+IyGp3EUFIrPfSDKAB+L3bPHmfiGThcRksuJgjqPM1JyHGp4tINvAk8HVVPRi6LRHKoaq9qjoP59v/QmC2x1kaFhG5EKhX1dVe52WUzlDVU3CauL8qImeGbkyA95IPOAX4larOB9oJawLzogwWXEZuN1Ac8nqam5aI6oILrQ2wMmhcEZEUnMDysKo+5SYnXDkAVLUF+BtOE1Keu4Q3xP976qPAxSJSBTyG0zT2MxKrDKjqbvdnPfA0TqBPpPdSLVCrqivd10/gBBtPy2DBZeRWAWXuyJhUYCnOCpuJaCgrg8YNERHgd8BmVf3vkE0JUw4RKRSRPPd5Bk6f0WacIHOZu1tcl0FVb1HVaapaivP+f0VVryKByiAiWSKSE3yOs+LtuyTQe0lV9wE1InKcm/QJ4D08LoPdoT8KIvJpnDbnZOB+Vb3D4ywNSkQeBc7GmY67Dvg+8CdgGTAdZ+mBy9VZCTQuicgZwBvARj5o6/82Tr9LQpRDRE4CHsB57yQBy1T1NhE5BqcWMB5YC3xeVbu8y+nQiMjZwE2qemEilcHN69PuSx/wiKreISIFJMh7CUBE5gH3AanADuCLuO8rPCqDBRdjjDERZ81ixhhjIs6CizHGmIiz4GKMMSbiLLgYY4yJOAsuxhhjIs6CizFRIiLfcWc83uDOuLsoitd6VUTKB9/TmNjwDb6LMWa4ROR04ELgFFXtEpEJOPcgGHNUsJqLMdExGWgM3jyoqo2qukdEbhWRVSLyrojc6842EKx53C0iFe56HAtE5Cl3LY7b3X1K3fU6Hnb3eUJEMsMvLCKfFJG3RGSNiPyvOwebMTFlwcWY6PgLUCwiW0XklyJylpv+C1VdoKpzgQyc2k1QtzrrifwaZ6qOrwJzgWvdO8YBjgN+qarHAweBr4Re1K0hfRc4152MsQK4MTpFNKZ/FlyMiQJVbQNOBa7HmQ79cRG5Fvi4u0rjRpyJHk8IOSw4N91GYJOq7nVrPjv4YJLUGlX9u/v8IeCMsEufhrN43d/d6fyvAUoiWjhjhsD6XIyJElXtBV4FXnWDyZeAk4ByVa0RkR8A6SGHBOffCoQ8D74O/q+Gz9cU/lqAl1T1ylEXwJhRsJqLMVEgIseJSFlI0jyclQEBGt1+kMs+fOSgpruDBQD+CXgzbPvbwEdFZKabjywRmTWC6xgzKlZzMSY6soH/cafV9wOVOE1kLThTuu/DWbZhuLbgLGh1P8606r8K3aiqDW7z26MikuYmfxfYOpJCGDNSNiuyMQnCXdL5z+5gAGPimjWLGWOMiTiruRhjjIk4q7kYY4yJOAsuxhhjIs6CizHGmIiz4GKMMSbiLLgYY4yJuP8f4qhAidPtIUcAAAAASUVORK5CYII=\n",
- "text/plain": [
- ""
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "cutoff = 0.15\n",
- "beta = 9\n",
- "ntaps = 63\n",
- "N = 4\n",
- "\n",
- "b = sig.firwin(ntaps, cutoff, window=('kaiser', beta))\n",
- "w, h = sig.freqz(b)\n",
- "\n",
- "plt.plot(b)\n",
- "plt.title('Resulting PQMF Window Function')\n",
- "plt.xlabel('Sample')\n",
- "plt.ylabel('Value')\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 103,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- ""
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "import matplotlib.pyplot as plt\n",
- "fig, ax1 = plt.subplots()\n",
- "ax1.set_title('Digital filter frequency response')\n",
- "\n",
- "ax1.plot(w / (2 * np.pi), 20 * np.log10(abs(h)), 'b')\n",
- "ax1.set_ylabel('Amplitude [dB]', color='b')\n",
- "ax1.set_xlabel('Frequency [rad/sample]')\n",
- "\n",
- "ax2 = ax1.twinx()\n",
- "angles = np.unwrap(np.angle(h))\n",
- "ax2.plot(w / (2 * np.pi), angles, 'g')\n",
- "ax2.set_ylabel('Angle (radians)', color='g')\n",
- "ax2.grid()\n",
- "ax2.axis('tight')\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 105,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "(63,)"
- ]
- },
- "execution_count": 105,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "b.shape"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 129,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "def optimfuncQMF(x):\n",
- " \"\"\"Optimization function for a PQMF Filterbank\n",
- " x: coefficients to optimize (first half of prototype h because of symmetry)\n",
- " err: resulting total error\n",
- " \"\"\"\n",
- " N = 2 #4 subbands\n",
- " cutoff = 1.5 #1.5\n",
- " h = np.append(x, np.flipud(x))\n",
- " f, H_im = sig.freqz(h)\n",
- " H = np.abs(H_im) #only keeping the real part\n",
- " \n",
- " posfreq = np.square(H[0:512//N])\n",
- " \n",
- " #Negative frequencies are symmetric around 0:\n",
- " negfreq = np.flipud(np.square(H[0:512//N]))\n",
- " \n",
- " #Sum of magnitude squared frequency responses should be closed to unity (or N)\n",
- " unitycond = np.sum(np.abs(posfreq + negfreq - 2*(N*N)*np.ones(512//N)))//512\n",
- " \n",
- " #plt.plot(posfreq+negfreq)\n",
- " \n",
- " #High attenuation after the next subband:\n",
- " att = np.sum(np.abs(H[int(cutoff*512//N):]))//512\n",
- " \n",
- " #Total (weighted) error:\n",
- " err = unitycond + 100*att\n",
- " return err"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 131,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "3.0\n"
- ]
- },
- {
- "data": {
- "image/png": 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\n",
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\n",
- "text/plain": [
- ""
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "err = optimfuncQMF(b)\n",
- "print(err)\n",
- "\n",
- "#Restore symmetric upper half of window:\n",
- "h = np.concatenate((xmin, np.flipud(xmin)))\n",
- "plt.plot(h)\n",
- "plt.title('Resulting PQMF Window Function')\n",
- "plt.xlabel('Sample')\n",
- "plt.ylabel('Value')\n",
- "plt.show()\n",
- "\n",
- "f, H = sig.freqz(h)\n",
- "plt.plot(f, 20*np.log10(np.abs(H)))\n",
- "plt.title('Resulting PQMF Magnitude Response')\n",
- "plt.xlabel('Normalized Frequency')\n",
- "plt.ylabel('dB')\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": []
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3.7.4 64-bit ('base': conda)",
- "language": "python",
- "name": "python37464bitbaseconda58faf23c4b5f4fef93406f29a1005f35"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.7.4"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/vocoder/notebooks/Untitled1.ipynb b/vocoder/notebooks/Untitled1.ipynb
deleted file mode 100644
index 7fec5150..00000000
--- a/vocoder/notebooks/Untitled1.ipynb
+++ /dev/null
@@ -1,6 +0,0 @@
-{
- "cells": [],
- "metadata": {},
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/vocoder/tests/__init__.py b/vocoder/tests/__init__.py
deleted file mode 100644
index 8b137891..00000000
--- a/vocoder/tests/__init__.py
+++ /dev/null
@@ -1 +0,0 @@
-