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haoxiangsnr / Fullsubnet

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

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FullSubNet

Platform Python version Pytorch Version GitHub repo size

This Git repository for the official PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement", accepted to ICASSP 2021.

💡[Demo] | 📄[PDF]

workflow

fullsubnet_result

You can use all of these things:

  • Available models
    • [x] FullSubNet
    • [ ] Delayed Sub-Band LSTM
    • [x] Fullband Baseline
  • Available Datasets
    • [x] Deep Noise Suppression Challenge - INTERSPEECH 2020
    • [ ] Demand + CSTR VCTK Corpus

Documentation

Citation

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

@misc{hao2020fullsubnet,
      title={FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement}, 
      author={Xiang Hao and Xiangdong Su and Radu Horaud and Xiaofei Li},
      year={2020},
      eprint={2010.15508},
      archivePrefix={arXiv},
      primaryClass={eess.AS}
}

License

License: MIT

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