
torchaudio.transforms.Speed
torchaudio.transforms.SpeedPerturbation

The operators can be used to synthetically diversify training data to improve the generalizability of downstream models.
For usage details, please refer to the functional and transform documentation and Audio Data Augmentation tutorial.
[Beta] WavLM and XLS-R models
The release adds two self-supervised learning models for speech and audio.

WavLM that is robust to noise and reverberation.
XLS-R that is trained on cross-lingual datasets.

Besides the model architectures, torchaudio also supports corresponding pre-trained pipelines:

torchaudio.pipelines.WAVLM_BASE
torchaudio.pipelines.WAVLM_BASE_PLUS
torchaudio.pipelines.WAVLM_LARGE
