/SCNet

Primary LanguagePythonMIT LicenseMIT

SCNet

This repository is the official implementation of SCNet: Sparse Compression Network for Music Source Separation

architecture


Training

The training code will be available soon. Meanwhile, you can utilize the training frameworks in these repository:


Todo

  • Experiments of mamba module.
  • Training and evaluation code.

Citing

If you find our work useful in your research, please consider citing:

@misc{tong2024scnet,
      title={SCNet: Sparse Compression Network for Music Source Separation}, 
      author={Weinan Tong and Jiaxu Zhu and Jun Chen and Shiyin Kang and Tao Jiang and Yang Li and Zhiyong Wu and Helen Meng},
      year={2024},
      eprint={2401.13276},
      archivePrefix={arXiv},
      primaryClass={eess.AS}
}