Official PyTorch implementation of FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement, ICASSP 2021.
You can use all of these things:
-
Available models
- Fullband Baseline
- FullSubNet
- FullSubNet (lightweight)
- Delayed Sub-Band LSTM
-
Available datasets
- Deep Noise Suppression Challenge - INTERSPEECH 2020
- Demand + CSTR VCTK Corpus
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}
}
This respository Under the MIT license.
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