AnyEnhance

AnyEnhance is a unified model for both voice enhancement and extraction. Based on a masked generative model, AnyEnhance is capable of addressing diverse speech & singing voice front-end tasks, including denoising, dereverberation, declipping, super-resolution, and target speaker extraction.

This repo have included the pretrained weights for AnyEnhance at Amphion.

Usage

You can refer to our recipe at GitHub for more usage details.

Citation

If you use AnyEnhance in your research, please cite the following paper(s):

@inproceedings{amphion,
    author={Zhang, Xueyao and Xue, Liumeng and Gu, Yicheng and Wang, Yuancheng and Li, Jiaqi and He, Haorui and Wang, Chaoren and Song, Ting and Chen, Xi and Fang, Zihao and Chen, Haopeng and Zhang, Junan and Tang, Tze Ying and Zou, Lexiao and Wang, Mingxuan and Han, Jun and Chen, Kai and Li, Haizhou and Wu, Zhizheng},
    title={Amphion: An Open-Source Audio, Music and Speech Generation Toolkit},
    booktitle={{IEEE} Spoken Language Technology Workshop, {SLT} 2024},
    year={2024}
}