torchaudio 2.3.0
0
An audio package for PyTorch
Contents
An audio package for PyTorch
Stars: 2390, Watchers: 2390, Forks: 632, Open Issues: 230The pytorch/audio
repo was created 7 years ago and the last code push was 7 hours ago.
The project is very popular with an impressive 2390 github stars!
How to Install torchaudio
You can install torchaudio using pip
pip install torchaudio
or add it to a project with poetry
poetry add torchaudio
Package Details
- Author
- Soumith Chintala, David Pollack, Sean Naren, Peter Goldsborough, Moto Hira, Caroline Chen, Jeff Hwang, Zhaoheng Ni, Xiaohui Zhang
- License
- None
- Homepage
- https://github.com/pytorch/audio
- PyPi:
- https://pypi.org/project/torchaudio/
- GitHub Repo:
- https://github.com/pytorch/audio
Classifiers
- Multimedia/Sound/Audio
- Scientific/Engineering/Artificial Intelligence
Related Packages
Errors
A list of common torchaudio errors.
Code Examples
Here are some torchaudio
code examples and snippets.
GitHub Issues
The torchaudio package has 230 open issues on GitHub
- pitch_shift consumes excessive GPU memory which is also not cleared
- Error while using PitchShift on GPU tensor
- AttributeError: module 'torchaudio.io' has no attribute 'AudioEffector'
- Hubert Pre-Training Example : Unable to load the saved checkpoint and resume training
- Split the CTC forced aligment API tutorial into two tutorials
- Add more explanation about
n_fft
- include a link to index.rst
- Usage of
TimeStretch
is incorrect in documentation. - Missing labels for WAV2VEC2_XLSR53
- Update README
- Update forced_align method to only support batch Tensors
- HuggingFace Transformers integration stated to fail
- "ONLINE ASR WITH EMFORMER RNN-T" inference does not work
- Fix StreamWriter regression around RGB0/BGR0
- Introduce chroma spectrogram transform