TFSWA-ResUNet: music source separation with time–frequency sequence and shifted window attention-based ResUNet

Abstract CNN-based UNet is a widely employed network architecture for music source separation (MSS). Meanwhile, spectrogram features of music audio, which consist of both time and frequency information, are commonly used as inputs for MSS tasks. CNN-based UNet models in the spectrogram domain still...

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Bibliographic Details
Published in:	EURASIP Journal on Advances in Signal Processing
Main Authors:	Zhenyu Yao, Yuping Su, Honghong Yang, Yumei Zhang, Xiaojun Wu
Format:	Article
Language:	English
Published:	SpringerOpen 2025-09-01
Subjects:	Music source separation ResUNet Time sequence attention Frequency sequence attention Shifted window attention
Online Access:	https://doi.org/10.1186/s13634-025-01249-0

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