This way the outputs are available for further downstream processing, e.g. with grep. For TTS/bin/synthesize.py, if --pipe_out is set, log to stderr because then only the output audio stream should be on stdout, e.g. to pipe it to aplay. |
||
---|---|---|
.. | ||
static | ||
templates | ||
README.md | ||
__init__.py | ||
conf.json | ||
server.py |
README.md
🐸 TTS demo server
Before you use the server, make sure you
install) 🐸 TTS
properly and install the additional dependencies with pip install coqui-tts[server]
. Then, you can follow the steps below.
Note: If you install 🐸TTS using pip
, you can also use the tts-server
end point on the terminal.
Examples runs:
List officially released models.
python TTS/server/server.py --list_models
Run the server with the official models.
python TTS/server/server.py --model_name tts_models/en/ljspeech/tacotron2-DCA --vocoder_name vocoder_models/en/ljspeech/multiband-melgan
Run the server with the official models on a GPU.
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
Run the server with a custom models.
python TTS/server/server.py --tts_checkpoint /path/to/tts/model.pth --tts_config /path/to/tts/config.json --vocoder_checkpoint /path/to/vocoder/model.pth --vocoder_config /path/to/vocoder/config.json