
New filters such as biquad, data augmentation such as time and frequency masking, transforms such as MFCC, gain and dither, and new feature computation such as deltas, are now available.
Transformations now support batches and are jitable.
An interactive speech recognition demo with voice activity detection is available for experimentation.

Learn more about torchaudio 0.4 here.
torchtext 0.5
torchtext 0.5 focuses mainly on improvements to the dataset loader APIs, including compatibility with core PyTorch APIs, but also adds support for unsupervised text tokenization. Highlights include:

Added bindings for SentencePiece for unsupervised text tokenization .
Added a new unsupervised learning dataset - enwik9.
Made revisions to PennTreebank, WikiText103, WikiText2, IMDb to make them compatible with torch.utils.data. Those datasets are in an experimental folder and we welcome your feedback.
