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.
Tutorials¶
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:
@article{yang2021torchaudio,
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},
year={2021}
}
