A JAX implementation of librosa, TorchLibrosa, and nnAudio
Project description
librosax
A JAX/Flax implementation of audio processing functions, inspired by and building upon librosa and TorchLibrosa.
Installation
Although, it is optional, we recommend first installing the jax-ai-stack with one of these three options:
pip install jax-ai-stack # JAX CPU
pip install jax-ai-stack "jax[cuda]" # JAX + AI stack with GPU/CUDA support
pip install jax-ai-stack "jax[tpu]" # JAX + AI stack with TPU support
Required: Then install librosax:
pip install librosax
Documentation
Documentation is here.
Acknowledgments
This library is heavily inspired by and borrows code from:
- librosa - The excellent Python library for audio and music analysis by the librosa development team
- TorchLibrosa - PyTorch implementations of librosa functions and neural net layers by Qiuqiang Kong
- nnAudio - PyTorch implementations of CQT and other functions by Kin Wai Cheuk
License
librosax is licensed under the ISC License, matching the license used by librosa. See the LICENSE file for details.
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