/FullSubNet

PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."

Primary LanguagePythonMIT LicenseMIT

FullSubNet

Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement

version Generic badge Documentation Status version python mit

Guides

The documentation is hosted on Read the Docs. Check the documentation for how to train and test models.

Citation

If you use this code for your research, please consider citeing:

@INPROCEEDINGS{hao2020fullsubnet,
    author={Hao, Xiang and Su, Xiangdong and Horaud, Radu and Li, Xiaofei},
    booktitle={ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
    title={Fullsubnet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement},
    year={2021},
    pages={6633-6637},
    doi={10.1109/ICASSP39728.2021.9414177}
}

License

This repository Under the MIT license.