Skip to content

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

License

Notifications You must be signed in to change notification settings

keonlee9420/FullSubNet

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

71 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

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

workflow

fullsubnet_result

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

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

About

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

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 100.0%