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Torchaudio Documentation

Torchaudio is a library for audio and signal processing with PyTorch. It provides I/O, signal and data processing functions, datasets, model implementations and application components.

Features described in this documentation are classified by release status:

Stable: These features will be maintained long-term and there should generally be no major performance limitations or gaps in documentation. We also expect to maintain backwards compatibility (although breaking changes can happen and notice will be given one release ahead of time).

Beta: Features are tagged as Beta because the API may change based on user feedback, because the performance needs to improve, or because coverage across operators is not yet complete. For Beta features, we are committing to seeing the feature through to the Stable classification. We are not, however, committing to backwards compatibility.

Prototype: These features are typically not available as part of binary distributions like PyPI or Conda, except sometimes behind run-time flags, and are at an early stage for feedback and testing.

Citing torchaudio

If you find torchaudio useful, please cite the following paper:

  • Yang, Y.-Y., Hira, M., Ni, Z., Chourdia, A., Astafurov, A., Chen, C., Yeh, C.-F., Puhrsch, C., Pollack, D., Genzel, D., Greenberg, D., Yang, E. Z., Lian, J., Mahadeokar, J., Hwang, J., Chen, J., Goldsborough, P., Roy, P., Narenthiran, S., Watanabe, S., Chintala, S., Quenneville-Bélair, V, & Shi, Y. (2021). TorchAudio: Building Blocks for Audio and Speech Processing. arXiv preprint arXiv:2110.15018.

In BibTeX format:

  title={TorchAudio: Building Blocks for Audio and Speech Processing},
  author={Yao-Yuan Yang and Moto Hira and Zhaoheng Ni and
          Anjali Chourdia and Artyom Astafurov and Caroline Chen and
          Ching-Feng Yeh and Christian Puhrsch and David Pollack and
          Dmitriy Genzel and Donny Greenberg and Edward Z. Yang and
          Jason Lian and Jay Mahadeokar and Jeff Hwang and Ji Chen and
          Peter Goldsborough and Prabhat Roy and Sean Narenthiran and
          Shinji Watanabe and Soumith Chintala and
          Vincent Quenneville-Bélair and Yangyang Shi},
  journal={arXiv preprint arXiv:2110.15018},


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