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tts_models--en--ljspeech--tacotron2-DCA.zip (312.6 MB)
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| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| Parent folder | |||
| vocoder_models--universal--libri-tts--wavegrad.zip | 2021-01-29 | 174.9 MB | |
| vocoder_models--universal--libri-tts--fullband-melgan.zip | 2021-01-29 | 76.7 MB | |
| vocoder_models--en--ljspeech--mulitband-melgan.zip | 2021-01-29 | 76.7 MB | |
| tts_models--fr--mai--tacotron2-DDC.zip | 2021-01-29 | 524.3 MB | |
| tts_models--es--mai--tacotron2-DDC.zip | 2021-01-29 | 523.2 MB | |
| tts_models--en--ljspeech--tacotron2-DCA.zip | 2021-01-29 | 312.6 MB | |
| tts_models--en--ljspeech--glow-tts.zip | 2021-01-29 | 315.1 MB | |
| README.md | 2021-01-27 | 2.0 kB | |
| TTS v0.0.9 (first release).tar.gz | 2021-01-27 | 14.8 MB | |
| TTS v0.0.9 (first release).zip | 2021-01-27 | 14.9 MB | |
| Totals: 10 Items | 2.0 GB | 6 | |
This is the first and v0.0.9 release of TTS, an open text-to-speech engine. TTS is still an evolving project and any upcoming release might be significantly different and not backward compatible.
In this release, we provide the following models.
| Language | Dataset | Model Name | Model Type | Download |
|---|---|---|---|---|
| English | LJSpeech | TacotronDCA | tts | 💾 |
| English | LJSpeech | Glow-TTS | tts | 💾 |
| Spanish | M-AILabs | TacotronDDC | tts | 💾 |
| French | M_AILabs | TacotronDDC | tts | 💾 |
| English | LJSpeech | MB-MelGAN | vocoder | 💾 |
| Multi-Lang | LibriTTS | FullBand-MelGAN | vocoder | 💾 |
| Multi-Lang | LibriTTS | WaveGrad | vocoder | 💾 |
Notes
- Multi-Lang vocoder models are intended for non-English models.
- Vocoder models are independently trained from the tts models with possibly different sampling rates. Therefore, the performance is not optimal.
- All models are trained with phonemes generated by espeak back-end (not espeak-ng).
This release has been tested under Python 3.6, 3.7, and 3.8. It is strongly suggested to use conda to install the dependencies and set-up the runtime environment.