mirror of https://github.com/coqui-ai/TTS.git
Merge branch 'pr/adonispujols/646' into dev
This commit is contained in:
commit
a3d1e65b34
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@ -66,7 +66,7 @@
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},
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},
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"en": {
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"en": {
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"ljspeech":{
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"ljspeech":{
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"mulitband-melgan":{
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"multiband-melgan":{
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"model_file": "1Ty5DZdOc0F7OTGj9oJThYbL5iVu_2G0K",
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"model_file": "1Ty5DZdOc0F7OTGj9oJThYbL5iVu_2G0K",
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"config_file": "1Rd0R_nRCrbjEdpOwq6XwZAktvugiBvmu",
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"config_file": "1Rd0R_nRCrbjEdpOwq6XwZAktvugiBvmu",
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"stats_file": "11oY3Tv0kQtxK_JPgxrfesa99maVXHNxU",
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"stats_file": "11oY3Tv0kQtxK_JPgxrfesa99maVXHNxU",
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@ -75,4 +75,4 @@
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}
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}
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}
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}
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}
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}
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}
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}
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@ -77,7 +77,7 @@ def main():
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parser.add_argument(
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parser.add_argument(
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'--vocoder_name',
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'--vocoder_name',
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type=str,
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type=str,
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default="vocoder_models/en/ljspeech/mulitband-melgan",
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default="vocoder_models/en/ljspeech/multiband-melgan",
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help=
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help=
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'Name of one of the pre-trained vocoder models in format <language>/<dataset>/<model_name>'
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'Name of one of the pre-trained vocoder models in format <language>/<dataset>/<model_name>'
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)
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)
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@ -17,10 +17,10 @@ List officially released models.
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```python TTS/server/server.py --list_models ```
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```python TTS/server/server.py --list_models ```
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Run the server with the official models.
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Run the server with the official models.
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```python TTS/server/server.py --model_name tts_models/en/ljspeech/tacotron2-DCA --vocoder_name vocoder_models/en/ljspeech/mulitband-melgan```
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```python TTS/server/server.py --model_name tts_models/en/ljspeech/tacotron2-DCA --vocoder_name vocoder_models/en/ljspeech/multiband-melgan```
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Run the server with the official models on a GPU.
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Run the server with the official models on a GPU.
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```CUDA_VISIBLE_DEVICES="0" python TTS/server/server.py --model_name tts_models/en/ljspeech/tacotron2-DCA --vocoder_name vocoder_models/en/ljspeech/mulitband-melgan --use_cuda True```
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```CUDA_VISIBLE_DEVICES="0" python TTS/server/server.py --model_name tts_models/en/ljspeech/tacotron2-DCA --vocoder_name vocoder_models/en/ljspeech/multiband-melgan --use_cuda True```
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Run the server with a custom models.
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Run the server with a custom models.
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```python TTS/server/server.py --tts_checkpoint /path/to/tts/model.pth.tar --tts_config /path/to/tts/config.json --vocoder_checkpoint /path/to/vocoder/model.pth.tar --vocoder_config /path/to/vocoder/config.json```
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```python TTS/server/server.py --tts_checkpoint /path/to/tts/model.pth.tar --tts_config /path/to/tts/config.json --vocoder_checkpoint /path/to/vocoder/model.pth.tar --vocoder_config /path/to/vocoder/config.json```
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