lemon1124 / FullSubNet

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

FullSubNet

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] | 💾[Model Checkpoint] | 📡[Loss Curve]

You can use all of these things:

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

Documentation

• Prerequisites
• Getting Started

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