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Released Models
Eren Gölge edited this page Apr 8, 2020
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| TTS Models | Dataset | Commit | Audio Sample | Details |
|---|---|---|---|---|
| Tacotron-iter-120K | LJSpeech | bf7590 | link | Better for longer sentences |
| Tacotron-iter-108K | TWEB | 2810d57 | link | https://github.com/mozilla/TTS/issues/22 |
| Tacotron-iter-185K | LJSpeech | branch | link | link |
| Tacotron2-iter-260K | LJSpeech | branch | soundcloud | Tacotron2 + WaveRNN (Mixture of Logistic Distributions) |
| Tacotron2 | LJSpeech | branch | soon to come | details |
| Tacotron2 with Graves (soon) | LJSpeech | branch | soon to come | details |
| Speaker Encoder Models | Dataset | Commit |
|---|---|---|
| Speaker-Encoder-iter25k | LibriSpeech | ... |
How to use:
- Create a fresh virtual environment with Python 3.6
$ apt-get install espeak libsndfile1$ pip install python_package_url_from_table_below$ python -m TTS.server.server- Open http://localhost:5002
| Model | Dataset | Python package | nginx/uWSGI config files |
|---|---|---|---|
| Tacotron 2 + Forward Attention + PWGAN | LJSpeech | TTS-0.0.1+92aea2a-py3-none-any.whl | tts-nginx-uwsgi.zip |
The server is a Flask application. For deployment with multiple workers see the nginx/uWSGI config files also linked in the table above. Pass --use_cuda 1 to use GPUs when available.
Soon...
model details by @Edresson