Metadata-Version: 2.1
Name: libss
Version: 0.1.0
Summary: Independent-component-analysis-based Blind audio source separation library.
Home-page: https://github.com/taishi-n/bliss
License: MIT
Author: Taishi Nakashima
Author-email: taishi@ieee.org
Requires-Python: >=3.8,<4.0
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Dist: matplotlib (>=3.4.2,<4.0.0)
Requires-Dist: museval (>=0.4.0,<0.5.0)
Requires-Dist: numpy (>=1.20.3,<2.0.0)
Requires-Dist: pytest (>=6.2.4,<7.0.0)
Project-URL: Repository, https://github.com/taishi-n/bliss
Description-Content-Type: text/markdown

# libss
Independent-component-analysis-based blind audio source separation library.

## Installation
```
pip install libss
```

## Available algorithms
- [Auxiliary-function-based independent vector analysis (AuxIVA)](https://doi.org/10.1109/ASPAA.2011.6082320)

### Coming soon...
- [Online AuxIVA](https://doi.org/10.1109/HSCMA.2014.6843261)
- [Independent low-rank matrix analysis (ILRMA)](https://doi.org/10.1109/TASLP.2016.2577880)
- [Fast multichannel nonnegative matrix factorization (FastMNMF)](https://doi.org/10.23919/EUSIPCO.2019.8902557)

## Example
- [AuxIVA](examples/auxiva.py)

