Research Article
Accompaniment Music Separation Based on 2DFT and Image Processing (Workshop)
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@INPROCEEDINGS{10.1007/978-3-030-41117-6_34, author={Tian Zhang and Tianqi Zhang and Congcong Fan}, title={Accompaniment Music Separation Based on 2DFT and Image Processing (Workshop)}, proceedings={Communications and Networking. 14th EAI International Conference, ChinaCom 2019, Shanghai, China, November 29 -- December 1, 2019, Proceedings, Part II}, proceedings_a={CHINACOM PART 2}, year={2020}, month={2}, keywords={Accompaniment separation 2 dimension fourier transform Time-frequency mask Image processing}, doi={10.1007/978-3-030-41117-6_34} }- Tian Zhang
Tianqi Zhang
Congcong Fan
Year: 2020
Accompaniment Music Separation Based on 2DFT and Image Processing (Workshop)
CHINACOM PART 2
Springer
DOI: 10.1007/978-3-030-41117-6_34
Abstract
For the difficulty of separation of accompaniment from mono music, image filtering was applied into a novel approach to separate accompaniment music. Our approach presents how single channel music manifests in the 2D Fourier Transform spectrum. In image domain, the position of periodic peak energy was determined by image filtering, and then masking matrix was constructed by rectangular window to extract the constituent of the accompaniment music. We find that our system is more robust and very simple to describe. The simulation experiments show that the method in this work has an advantage over other separation algorithm.
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