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added details on coqui model usage.

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Thorsten Mueller 2021-04-05 16:57:36 +02:00
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@ -145,8 +145,27 @@ If you trained a model on "Thorsten" dataset please file an issue with some info
My personal training sessions are based on TTS repo code (originally initiated by Mozilla) and now maintained through https://www.coqui.ai (:frog:)
## Coqui models
For all "Thorsten" coqui models i recommend setting up a virtual environment (*venv*).
* mkdir ThorstenVoice
* cd ThorstenVoice
* python3 -m venv .
* source ./bin/activate
* pip install -U pip
* pip install -U tts
* *start coqui server model with one of the following model combinations*
* Open web-browser on http://localhost:5002
### Tacotron2 + DCA (DynamicConvolution Attention) & WaveGrad vocoder
> https://github.com/coqui-ai/TTS/releases/tag/v0.0.11
> Using option "use_cuda=true" is recommended for better real time factor.
RTF (CPU) around 25x realtime
RTF (GPU) around 4x realtime
* tts-server --model_name tts_models/de/thorsten/tacotron2-DCA
See: https://github.com/coqui-ai/TTS/releases/tag/v0.0.11
### Tacotron2 + DCA (DynamicConvolution Attention) & Fullband-MelGAN (universal) vocoder
> RTF is less then 0.5 realtime
* tts-server --model_name tts_models/de/thorsten/tacotron2-DCA --vocoder_name vocoder_models/universal/libri-tts/fullband-melgan
## Silero-models
You can use a free A-GPL licensed models trained on this dataset via the [silero-models](https://github.com/snakers4/silero-models) project. The full list of models including their older version is available via this [yaml file](https://github.com/snakers4/silero-models/blob/master/models.yml).