[Stable] Text-to-speech
With the goal of supporting text-to-speech applications, we added a vocoder based on the WaveRNN model, based on the implementation from this repository. The original implementation was introduced in "Efficient Neural Audio Synthesis". We also provide an example WaveRNN training pipeline that uses the LibriTTS dataset added to torchaudio in this release.
[Stable] Source Separation
With the addition of the ConvTasNet model, based on the paper "Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation," torchaudio now also supports source separation. An example ConvTasNet training pipeline is provided with the wsj-mix dataset.
Cheers!
Team PyTorch