felixfuyihui / Uformer

Uformer: A Unet based dilated complex & real dual-path conformer network for simultaneous speech enhancement and dereverberation

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Uformer

The implementation of Uformer: A Unet based dilated complex & real dual-path conformer network for simultaneous speech enhancement and dereverberation

The paper is available at: https://arxiv.org/abs/2111.06015

Please cite the paper if you want to follow the idea or results:

@article{fu2021uformer,
        title={Uformer: A Unet based dilated complex \& real dual-path conformer network for simultaneous speech enhancement and dereverberation},
        author={Fu, Yihui and Liu, Yun and Li, Jingdong and Luo, Dawei and Lv, Shubo and Jv, Yukai and Xie, Lei},
        journal={arXiv preprint arXiv:2111.06015},
        year={2021}
        }

2022.6.18 I make some modifications of the model including:

  1. Replace local temporal attention with global temporal attention.
  2. Cancel Encoder Decoder Attention to reduce the amount of parameter.
  3. Change some activation function and norm function.

About

Uformer: A Unet based dilated complex & real dual-path conformer network for simultaneous speech enhancement and dereverberation


Languages

Language:Python 100.0%