SCNET: SPARSE COMPRESSION NETWORK FOR MUSIC SOURCE SEPARATION

Deep learning-based methods have made significant achievements in music source separation. However, obtaining good results while maintaining a low model complexity remains challenging in super wide-band music source separation.

Data and Resources

Cite this as

Weinan Tong, Jiaxu Zhu, Jun Chen, Shiyin Kang, Tao Jiang, Yang Li, Zhiyong Wu, Helen Meng (2024). Dataset: SCNET: SPARSE COMPRESSION NETWORK FOR MUSIC SOURCE SEPARATION. https://doi.org/10.57702/pm2d7xuv

DOI retrieved: December 3, 2024

Additional Info

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Created December 3, 2024
Last update December 3, 2024
Defined In https://doi.org/10.48550/arXiv.2401.13276
Author Weinan Tong
More Authors
Jiaxu Zhu
Jun Chen
Shiyin Kang
Tao Jiang
Yang Li
Zhiyong Wu
Helen Meng