Medix-AI/coqui-tts
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coqui-tts
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use default vocoder in synthesize.py

This commit is contained in:
Eren Gölge 2021-02-11 15:26:17 +00:00 committed by Eren Gölge
parent 23b282f600
commit 8955333e9d
1 changed files with 8 additions and 4 deletions
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12
TTS/bin/synthesize.py
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@ -40,7 +40,10 @@ def main():
# run tts with default models. # run tts with default models.
./TTS/bin synthesize.py --text "Text for TTS" ./TTS/bin synthesize.py --text "Text for TTS"
# run a model from the list # run a tts model with its default vocoder model.
./TTS/bin synthesize.py --text "Text for TTS" --model_name "<language>/<dataset>/<model_name>"
# run with specific tts and vocoder models 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 ./TTS/bin/synthesize.py --text "Text for TTS" --model_name "<language>/<dataset>/<model_name>" --vocoder_name "<language>/<dataset>/<model_name>" --output_path
# run your own TTS model (Using Griffin-Lim Vocoder) # run your own TTS model (Using Griffin-Lim Vocoder)
@ -79,7 +82,7 @@ def main():
parser.add_argument( parser.add_argument(
'--vocoder_name', '--vocoder_name',
type=str, type=str,
default="vocoder_models/en/ljspeech/multiband-melgan", default=None,
help= help=
'Name of one of the pre-trained vocoder models in format <language>/<dataset>/<model_name>' 'Name of one of the pre-trained vocoder models in format <language>/<dataset>/<model_name>'
) )
@ -163,10 +166,11 @@ def main():
# CASE2: load pre-trained models # CASE2: load pre-trained models
if args.model_name is not None: if args.model_name is not None:
model_path, config_path = manager.download_model(args.model_name) model_path, config_path, model_item = manager.download_model(args.model_name)
args.vocoder_name = model_item['default_vocoder'] if args.vocoder_name is None else args.vocoder_name
if args.vocoder_name is not None: if args.vocoder_name is not None:
vocoder_path, vocoder_config_path = manager.download_model(args.vocoder_name) vocoder_path, vocoder_config_path, vocoder_item = manager.download_model(args.vocoder_name)
# CASE3: load custome models # CASE3: load custome models
if args.model_path is not None: if args.model_path is not None: