Medix-AI/coqui-tts
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coqui-tts
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config changes

This commit is contained in:
Eren G 2018-08-08 12:31:03 +02:00
parent abf89b107b
commit 790a1b4639
4 changed files with 18 additions and 16 deletions
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12
.compute
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@ -1,8 +1,10 @@
#!/bin/bash
# source ../tmp/venv/bin/activate
# ls /snakepit/jobs/650/keep/
source /snakepit/jobs/650/keep/venv/bin/activate
# source /snakepit/jobs/560/tmp/venv/bin/activate
source ../tmp/venv/bin/activate
# ls /snakepit/jobs/1023/keep/
# source /snakepit/jobs/1023/keep/venv/bin/activate
# source /snakepit/jobs/1047/keep/venv/bin/activate
# python extract_feats.py --data_path /snakepit/shared/data/keithito/LJSpeech-1.1/wavs --out_path /snakepit/shared/data/keithito/LJSpeech-1.1/loader_data/ --config config.json --num_proc 32
CUDA_VISIBLE_DEVICES="1" python train.py --config_path config.json --debug true
# python train.py --config_path config_kusal.json --debug true
python train.py --config_path config.json --debug true
# python -m cProfile -o profile.cprof train.py --config_path config.json --debug true
# nvidia-smi

6
.install
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@ -1,4 +1,4 @@
#!/bin/bash
# virtualenv -p python3 ../tmp/venv
# source ../tmp/venv/bin/activate
# python setup.py develop
virtualenv -p python3 ../tmp/venv
source ../tmp/venv/bin/activate
python setup.py develop

8
config.json
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@ -1,9 +1,9 @@
{
"model_name": "TTS-lws-1025",
"audio_processor": "audio_lws",
"model_name": "TTS-larger-256",
"audio_processor": "audio",
"num_mels": 80,
"num_freq": 1025,
"sample_rate": 20000,
"sample_rate": 22050,
"frame_length_ms": 50,
"frame_shift_ms": 12.5,
"preemphasis": 0.97,
@ -17,7 +17,7 @@
"epochs": 1000,
"lr": 0.002,
"warmup_steps": 4000,
"batch_size": 52,
"batch_size": 32,
"eval_batch_size":-1,
"r": 5,

8
config_kusal.json
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@ -1,9 +1,9 @@
{
"model_name": "TTS-kusal",
"audio_processor": "audio_lws",
"model_name": "TTS-kusal-larger",
"audio_processor": "audio",
"num_mels": 80,
"num_freq": 1025,
"sample_rate": 22000,
"sample_rate": 22050,
"frame_length_ms": 50,
"frame_shift_ms": 12.5,
"preemphasis": 0.97,
@ -17,7 +17,7 @@
"epochs": 1000,
"lr": 0.002,
"warmup_steps": 4000,
"batch_size": 52,
"batch_size": 32,
"eval_batch_size":-1,
"r": 5,