Separate Anything You Describe

We introduce AudioSep, a foundation model for open-domain sound separation with natural language queries. AudioSep demonstrates strong separation performance and impressive zero-shot generalization ability on numerous tasks such as audio event separation, musical instrument separation, and speech enhancement. Check the separated audio examples in the Demo Page!

Cite this work

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@article{liu2023separate,
  title={Separate Anything You Describe},
  author={Liu, Xubo and Kong, Qiuqiang and Zhao, Yan and Liu, Haohe and Yuan, Yi and Liu, Yuzhuo and Xia, Rui and Wang, Yuxuan and Plumbley, Mark D and Wang, Wenwu},
  journal={arXiv preprint arXiv:2308.05037},
  year={2023}
}

@inproceedings{liu22w_interspeech,
  title={Separate What You Describe: Language-Queried Audio Source Separation},
  author={Liu, Xubo and Liu, Haohe and Kong, Qiuqiang and Mei, Xinhao and Zhao, Jinzheng and Huang, Qiushi and Plumbley, Mark D and Wang, Wenwu},
  year=2022,
  booktitle={Proc. Interspeech},
  pages={1801--1805},
}