Merge remote-tracking branch 'upstream/dev' into dev

Fix for circleci error mentioned in PR https://github.com/mozilla/TTS/pull/637

README.md

@@ -10,11 +10,11 @@ TTS comes with [pretrained models](https://github.com/mozilla/TTS/wiki/Released-
 [![License](<https://img.shields.io/badge/License-MPL%202.0-brightgreen.svg>)](https://opensource.org/licenses/MPL-2.0)
 [![PyPI version](https://badge.fury.io/py/TTS.svg)](https://badge.fury.io/py/TTS)
 
-:loudspeaker: [English Voice Samples](https://erogol.github.io/ddc-samples/) and [SoundCloud playlist](https://soundcloud.com/user-565970875/pocket-article-wavernn-and-tacotron2)
+📢 [English Voice Samples](https://erogol.github.io/ddc-samples/) and [SoundCloud playlist](https://soundcloud.com/user-565970875/pocket-article-wavernn-and-tacotron2)
 
-:man_cook:  [TTS training recipes](https://github.com/erogol/TTS_recipes)
+👩🏽‍🍳  [TTS training recipes](https://github.com/erogol/TTS_recipes)
 
-:page_facing_up: [Text-to-Speech paper collection](https://github.com/erogol/TTS-papers)
+📄 [Text-to-Speech paper collection](https://github.com/erogol/TTS-papers)
 
 ## 💬 Where to ask questions
 Please use our dedicated channels for questions and discussion. Help is much more valuable if it's shared publicly, so that more people can benefit from it.
@@ -93,21 +93,26 @@ Please use our dedicated channels for questions and discussion. Help is much mor
 You can also help us implement more models. Some TTS related work can be found [here](https://github.com/erogol/TTS-papers).
 
 ## Install TTS
-TTS supports **python >= 3.6, <3.9**.
+TTS is tested on Ubuntu 18.04 with **python >= 3.6, <3.9**.
 
 If you are only interested in [synthesizing speech](https://github.com/mozilla/TTS/tree/dev#example-synthesizing-speech-on-terminal-using-the-released-models) with the released TTS models, installing from PyPI is the easiest option.
 
-```
+```bash
 pip install TTS
 ```
 
 If you plan to code or train models, clone TTS and install it locally.
 
-```
+```bash
 git clone https://github.com/mozilla/TTS
 pip install -e .
 ```
 
+We use ```espeak``` to convert graphemes to phonemes. You might need to install separately.
+```bash
+sudo apt-get install espeak 
+```
+
 ## Directory Structure
 ```
 |- notebooks/       (Jupyter Notebooks for model evaluation, parameter selection and data analysis.)
@@ -157,16 +162,35 @@ Some of the public datasets that we successfully applied TTS:
 After the installation, TTS provides a CLI interface for synthesizing speech using pre-trained models. You can either use your own model or the release models under the TTS project.
 
 Listing released TTS models.
-```tts --list_models```
+```bash
+tts --list_models
+```
 
 Run a tts and a vocoder model from the released model list. (Simply copy and paste the full model names from the list as arguments for the command below.)
-```tts --text "Text for TTS" --model_name "<type>/<language>/<dataset>/<model_name>" --vocoder_name "<type>/<language>/<dataset>/<model_name>" --output_path```
+```bash
+tts --text "Text for TTS" \
+    --model_name "<type>/<language>/<dataset>/<model_name>" \
+    --vocoder_name "<type>/<language>/<dataset>/<model_name>" \
+    --out_path folder/to/save/output/
+```
 
 Run your own TTS model (Using Griffin-Lim Vocoder)
-```tts --text "Text for TTS" --model_path path/to/model.pth.tar --config_path path/to/config.json --out_path output/path/speech.wav```
+```bash
+tts --text "Text for TTS" \
+    --model_path path/to/model.pth.tar \
+    --config_path path/to/config.json \
+    --out_path output/path/speech.wav
+```
 
 Run your own TTS and Vocoder models
-```tts --text "Text for TTS" --model_path path/to/config.json --config_path path/to/model.pth.tar --out_path output/path/speech.wav --vocoder_path path/to/vocoder.pth.tar --vocoder_config_path path/to/vocoder_config.json```
+```bash
+tts --text "Text for TTS" \
+    --model_path path/to/config.json \
+    --config_path path/to/model.pth.tar \
+    --out_path output/path/speech.wav \
+    --vocoder_path path/to/vocoder.pth.tar \
+    --vocoder_config_path path/to/vocoder_config.json
+```
 
 **Note:** You can use ```./TTS/bin/synthesize.py``` if you prefer running ```tts``` from the TTS project folder.
 
@@ -185,19 +209,27 @@ To train a new model, you need to define your own ```config.json``` to define mo
 
 For instance, in order to train a tacotron or tacotron2 model on LJSpeech dataset, follow these steps.
 
-```python TTS/bin/train_tacotron.py --config_path TTS/tts/configs/config.json```
+```bash
+python TTS/bin/train_tacotron.py --config_path TTS/tts/configs/config.json
+```
 
 To fine-tune a model, use ```--restore_path```.
 
-```python TTS/bin/train_tacotron.py --config_path TTS/tts/configs/config.json --restore_path /path/to/your/model.pth.tar```
+```bash
+python TTS/bin/train_tacotron.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_tacotron.py --continue_path /path/to/your/run_folder/```
+```bash
+python TTS/bin/train_tacotron.py --continue_path /path/to/your/run_folder/
+```
 
 For multi-GPU training, call ```distribute.py```. It runs any provided train script in multi-GPU setting.
 
-```CUDA_VISIBLE_DEVICES="0,1,4" python TTS/bin/distribute.py --script train_tacotron.py --config_path TTS/tts/configs/config.json```
+```bash
+CUDA_VISIBLE_DEVICES="0,1,4" python TTS/bin/distribute.py --script train_tacotron.py --config_path TTS/tts/configs/config.json
+```
 
 Each run creates a new output folder accomodating used ```config.json```, model checkpoints and tensorboard logs.
 

TTS/bin/synthesize.py

@@ -35,6 +35,9 @@ def main():
     # list provided models
     ./TTS/bin/synthesize.py --list_models
 
+    # run tts with default models.
+    ./TTS/bin synthesize.py --text "Text for TTS"
+
     # run a model from the list
     ./TTS/bin/synthesize.py --text "Text for TTS" --model_name "<language>/<dataset>/<model_name>" --vocoder_name "<language>/<dataset>/<model_name>" --output_path
 
@@ -67,14 +70,14 @@ def main():
     parser.add_argument(
         '--model_name',
         type=str,
-        default=None,
+        default="tts_models/en/ljspeech/speedy-speech-wn",
         help=
         'Name of one of the pre-trained tts models in format <language>/<dataset>/<model_name>'
     )
     parser.add_argument(
         '--vocoder_name',
         type=str,
-        default=None,
+        default="vocoder_models/en/ljspeech/mulitband-melgan",
         help=
         'Name of one of the pre-trained  vocoder models in format <language>/<dataset>/<model_name>'
     )

TTS/bin/train_tacotron.py

@@ -534,7 +534,7 @@ def main(args):  # pylint: disable=redefined-outer-name
         optimizer_st = None
 
     # setup criterion
-    criterion = TacotronLoss(c, stopnet_pos_weight=10.0, ga_sigma=0.4)
+    criterion = TacotronLoss(c, stopnet_pos_weight=c.stopnet_pos_weight, ga_sigma=0.4)
 
     if args.restore_path:
         checkpoint = torch.load(args.restore_path, map_location='cpu')

TTS/bin/train_vocoder_wavegrad.py

@@ -345,6 +345,10 @@ def main(args):  # pylint: disable=redefined-outer-name
     # setup criterion
     criterion = torch.nn.L1Loss().cuda()
 
+    if use_cuda:
+        model.cuda()
+        criterion.cuda()
+
     if args.restore_path:
         checkpoint = torch.load(args.restore_path, map_location='cpu')
         try:
@@ -378,10 +382,6 @@ def main(args):  # pylint: disable=redefined-outer-name
     else:
         args.restore_step = 0
 
-    if use_cuda:
-        model.cuda()
-        criterion.cuda()
-
     # DISTRUBUTED
     if num_gpus > 1:
         model = DDP_th(model, device_ids=[args.rank])

TTS/bin/train_vocoder_wavernn.py

@@ -200,7 +200,7 @@ def train(model, optimizer, criterion, scheduler, scaler, ap, global_step, epoch
                 train_data[rand_idx], (tuple, list)) else train_data[rand_idx][0]
             wav = ap.load_wav(wav_path)
             ground_mel = ap.melspectrogram(wav)
-            sample_wav = model.generate(ground_mel,
+            sample_wav = model.inference(ground_mel,
                                         c.batched,
                                         c.target_samples,
                                         c.overlap_samples,
@@ -287,7 +287,7 @@ def evaluate(model, criterion, ap, global_step, epoch):
             eval_data[rand_idx], (tuple, list)) else eval_data[rand_idx][0]
         wav = ap.load_wav(wav_path)
         ground_mel = ap.melspectrogram(wav)
-        sample_wav = model.generate(ground_mel,
+        sample_wav = model.inference(ground_mel,
                                     c.batched,
                                     c.target_samples,
                                     c.overlap_samples,

TTS/server/server.py

@@ -17,8 +17,8 @@ def create_argparser():
 
     parser = argparse.ArgumentParser()
     parser.add_argument('--list_models', type=convert_boolean, nargs='?', const=True, default=False, help='list available pre-trained tts and vocoder models.')
-    parser.add_argument('--model_name', type=str, help='name of one of the released tts models.')
-    parser.add_argument('--vocoder_name', type=str, help='name of one of the released vocoder models.')
+    parser.add_argument('--model_name', type=str, default="tts_models/en/ljspeech/speedy-speech-wn", help='name of one of the released tts models.')
+    parser.add_argument('--vocoder_name', type=str, default="vocoder_models/en/ljspeech/mulitband-melgan", help='name of one of the released vocoder models.')
     parser.add_argument('--tts_checkpoint', type=str, help='path to custom tts checkpoint file')
     parser.add_argument('--tts_config', type=str, help='path to custom tts config.json file')
     parser.add_argument('--tts_speakers', type=str, help='path to JSON file containing speaker ids, if speaker ids are used in the model')

TTS/tts/utils/synthesis.py

@@ -1,3 +1,5 @@
+import os
+os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' 
 import pkg_resources
 installed = {pkg.key for pkg in pkg_resources.working_set}  #pylint: disable=not-an-iterable
 if 'tensorflow' in installed or 'tensorflow-gpu' in installed:

TTS/utils/audio.py

@@ -3,7 +3,7 @@ import soundfile as sf
 import numpy as np
 import scipy.io.wavfile
 import scipy.signal
-import pyworld as pw
+# import pyworld as pw
 
 from TTS.tts.utils.data import StandardScaler
 
@@ -292,15 +292,16 @@ class AudioProcessor(object):
         return pad // 2, pad // 2 + pad % 2
 
     ### Compute F0 ###
-    def compute_f0(self, x):
-        f0, t = pw.dio(
-            x.astype(np.double),
-            fs=self.sample_rate,
-            f0_ceil=self.mel_fmax,
-            frame_period=1000 * self.hop_length / self.sample_rate,
-        )
-        f0 = pw.stonemask(x.astype(np.double), f0, t, self.sample_rate)
-        return f0
+    # TODO: pw causes some dep issues
+    # def compute_f0(self, x):
+    #     f0, t = pw.dio(
+    #         x.astype(np.double),
+    #         fs=self.sample_rate,
+    #         f0_ceil=self.mel_fmax,
+    #         frame_period=1000 * self.hop_length / self.sample_rate,
+    #     )
+    #     f0 = pw.stonemask(x.astype(np.double), f0, t, self.sample_rate)
+    #     return f0
 
     ### Audio Processing ###
     def find_endpoint(self, wav, threshold_db=-40, min_silence_sec=0.8):

TTS/utils/manage.py

@@ -1,10 +1,11 @@
 import json
-import gdown
-from pathlib import Path
 import os
+from pathlib import Path
 
-from TTS.utils.io import load_config
+import gdown
 from TTS.utils.generic_utils import get_user_data_dir
+from TTS.utils.io import load_config
+
 
 class ModelManager(object):
     """Manage TTS models defined in .models.json.
@@ -17,12 +18,17 @@ class ModelManager(object):
     Args:
         models_file (str): path to .model.json
     """
-    def __init__(self, models_file):
+    def __init__(self, models_file=None):
         super().__init__()
         self.output_prefix = get_user_data_dir('tts')
         self.url_prefix = "https://drive.google.com/uc?id="
         self.models_dict = None
-        self.read_models_file(models_file)
+        if models_file is not None:
+            self.read_models_file(models_file)
+        else:
+            # try the default location
+            path = Path(__file__).parent / "../.models.json"
+            self.read_models_file(path)
 
     def read_models_file(self, file_path):
         """Read .models.json as a dict

TTS/utils/synthesizer.py

@@ -11,7 +11,7 @@ from TTS.tts.utils.speakers import load_speaker_mapping
 from TTS.vocoder.utils.generic_utils import setup_generator, interpolate_vocoder_input
 # pylint: disable=unused-wildcard-import
 # pylint: disable=wildcard-import
-from TTS.tts.utils.synthesis import *
+from TTS.tts.utils.synthesis import synthesis, trim_silence
 
 from TTS.tts.utils.text import make_symbols, phonemes, symbols
 
@@ -79,7 +79,7 @@ class Synthesizer(object):
 
         self.tts_config = load_config(tts_config)
         self.use_phonemes = self.tts_config.use_phonemes
-        self.ap = AudioProcessor(**self.tts_config.audio)
+        self.ap = AudioProcessor(verbose=False, **self.tts_config.audio)
 
         if 'characters' in self.tts_config.keys():
             symbols, phonemes = make_symbols(**self.tts_config.characters)
@@ -96,7 +96,7 @@ class Synthesizer(object):
 
     def load_vocoder(self, model_file, model_config, use_cuda):
         self.vocoder_config = load_config(model_config)
-        self.vocoder_ap = AudioProcessor(**self.vocoder_config['audio'])
+        self.vocoder_ap = AudioProcessor(verbose=False, **self.vocoder_config['audio'])
         self.vocoder_model = setup_generator(self.vocoder_config)
         self.vocoder_model.load_checkpoint(self.vocoder_config, model_file, eval=True)
         if use_cuda:

hubconf.py

@@ -0,0 +1,36 @@
+dependencies = ['torch', 'gdown']
+import torch
+
+from TTS.utils.synthesizer import Synthesizer
+from TTS.utils.manage import ModelManager
+
+
+def tts(model_name='tts_models/en/ljspeech/tacotron2-DCA', vocoder_name='vocoder_models/en/ljspeech/mulitband-melgan'):
+    """TTS entry point for PyTorch Hub that provides a Synthesizer object to synthesize speech from a give text.
+
+    Example:
+        >>> synthesizer = torch.hub.load('mozilla/TTS', 'tts', source='github')
+        >>> wavs = synthesizer.tts("This is a test! This is also a test!!")
+            wavs - is a list of values of the synthesized speech.
+
+    Args:
+        model_name (str, optional): One of the model names from .model.json. Defaults to 'tts_models/en/ljspeech/tacotron2-DCA'.
+        vocoder_name (str, optional): One of the model names from .model.json. Defaults to 'vocoder_models/en/ljspeech/mulitband-melgan'.
+        pretrained (bool, optional): [description]. Defaults to True.
+
+    Returns:
+        TTS.utils.synthesizer.Synthesizer: Synthesizer object wrapping both vocoder and tts models.
+    """
+    manager = ModelManager()
+
+    model_path, config_path = manager.download_model(model_name)
+    vocoder_path, vocoder_config_path = manager.download_model(vocoder_name)
+
+    # create synthesizer
+    synt = Synthesizer(model_path, config_path, vocoder_path, vocoder_config_path)
+    return synt
+
+
+if __name__ == '__main__':
+    synthesizer = torch.hub.load('mozilla/TTS:hub_conf', 'tts', source='github')
+    synthesizer.tts("This is a test!")

pyproject.toml

@@ -1,2 +1,2 @@
 [build-system]
-requires = ["setuptools", "wheel", "Cython", "numpy>=1.16.0"]
+requires = ["setuptools", "wheel", "Cython", "numpy==1.17.5"]

requirements.txt

@@ -1,12 +1,11 @@
 torch>=1.5
 tensorflow==2.3.1
-numpy>=1.16.0
+numpy==1.17.5
 scipy>=0.19.0
 numba==0.48
 librosa==0.7.2
 phonemizer>=2.2.0
 unidecode==0.4.20
-attrdict
 tensorboardX
 matplotlib
 Pillow
@@ -23,4 +22,4 @@ pylint==2.5.3
 gdown
 umap-learn
 cython
-pyyaml
+pyyaml

setup.py

@@ -5,15 +5,21 @@ import os
 import shutil
 import subprocess
 import sys
+from distutils.version import LooseVersion
 
 import numpy
 import setuptools.command.build_py
 import setuptools.command.develop
-
-from setuptools import find_packages, setup
-from distutils.extension import Extension
+from setuptools import setup, Extension, find_packages
 from Cython.Build import cythonize
 
+
+if LooseVersion(sys.version) < LooseVersion("3.6") or LooseVersion(sys.version) > LooseVersion("3.9"):
+    raise RuntimeError(
+        "TTS requires python >= 3.6 and <3.9 "
+        "but your Python version is {}".format(sys.version)
+    )
+
 # parameters for wheeling server.
 parser = argparse.ArgumentParser(add_help=False, allow_abbrev=False)
 parser.add_argument('--checkpoint',

tests/test_vocoder_gan_datasets.py

@@ -61,7 +61,8 @@ def gan_dataset_case(batch_size, seq_len, hop_len, conv_pad, return_segments, us
                     mel = ap.melspectrogram(audio)
                     # the first 2 and the last 2 frames are skipped due to the padding
                     # differences in stft
-                    assert (feat - mel[:, :feat1.shape[-1]])[:, 2:-2].sum() <= 0, f' [!] {(feat - mel[:, :feat1.shape[-1]])[:, 2:-2].sum()}'
+                    max_diff = abs((feat - mel[:, :feat1.shape[-1]])[:, 2:-2]).max()
+                    assert max_diff <= 0, f' [!] {max_diff}'
 
             count_iter += 1
             # if count_iter == max_iter: