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Pytorch implementation of Deepmind's WaveRNN model

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erogol/WaveRNN

 
 

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This code is forked fromhttps://github.com/fatchord/WaveRNN and optimized forMozilla-TTS.

Released Models

ModelsDatasetCommitAudio SampleTTS modelDetails
mold modelLJspeech8a1c152soundcloudTacotron2-iter-260KModel with Mixture of Logistic Distribution
10bit modelLJSpeechfaea90bsoundcloudTacotron2-iter-260K10bit Softmax output
universal vocoderLibriTTS12c8744soundcloud-(details)

Check thisTTS notebook to see TTS+WaveRNN in action.To train your own model, you can useExtractTTSSpectrogram to generate spectrograms by TTS and train WaveRNN.It might be also interesting to check thisTTS issue to catchup with the current state.

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Pytorch implementation of Deepmind's WaveRNN model

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  • Jupyter Notebook92.9%
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