Presentation 2013-01-24
Low-Distortion Structure of Music Signal Separation Combining Directional Clustering and Nonnegative Matrix Factorization
Yusuke IWAO, Hiroshi SAWATARI, Noriyoshi KAMADO, Kiyohiro SHIKANO, Kazunobu KONDO, Yu TAKAHASHI,
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Abstract(in English) In this paper, we address a music signal separation problem with low-distortion structure method combining directional clustering and nonnegative matrix factorization (NMF). By combining directional clustering and NMF, we can extract the target signal from music signals consisting of many source mixtures. However, if we directly combine two methods, the estimated target signal suffers from much spectral distortion. Therefore, in this paper, we propose a new low-distortion-structured music signal separation method combining two methods. In the evaluation experiment, we estimate the target signals from the stereo music signals containing four music instrument signals. From the results, we reveal that the proposed low-distortion method is superior to other methods, namely, directional clustering, NMF and direct combination of directional clustering and NMF.
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Keyword(in English) nonnegative matrix factorization / directional clustering / music signal processing / κ-means clustering
Paper # EA2012-120
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Committee EA
Conference Date 2013/1/17(1days)
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Registration To Engineering Acoustics (EA)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Low-Distortion Structure of Music Signal Separation Combining Directional Clustering and Nonnegative Matrix Factorization
Sub Title (in English)
Keyword(1) nonnegative matrix factorization
Keyword(2) directional clustering
Keyword(3) music signal processing
Keyword(4) κ-means clustering
1st Author's Name Yusuke IWAO
1st Author's Affiliation Nara Institute of Science and Technology()
2nd Author's Name Hiroshi SAWATARI
2nd Author's Affiliation Nara Institute of Science and Technology
3rd Author's Name Noriyoshi KAMADO
3rd Author's Affiliation Nara Institute of Science and Technology
4th Author's Name Kiyohiro SHIKANO
4th Author's Affiliation Nara Institute of Science and Technology
5th Author's Name Kazunobu KONDO
5th Author's Affiliation Yamaha Corporate Research & Development Center
6th Author's Name Yu TAKAHASHI
6th Author's Affiliation Yamaha Corporate Research & Development Center
Date 2013-01-24
Paper # EA2012-120
Volume (vol) vol.112
Number (no) 388
Page pp.pp.-
#Pages 6
Date of Issue