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Journal Article Harmonic and Percussive Separation based on NMF and Tonality Mask
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Authors
Keunwoo Choi, Sang Bae Chon, Kyeongok Kang
Issue Date
2012-12
Citation
ETRI Journal, v.34, no.6, pp.958-961
ISSN
1225-6463
Publisher
한국전자통신연구원 (ETRI)
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.4218/etrij.12.0212.0107
Abstract
In this letter, we present a new algorithm for the harmonic and percussive separation of jazz music. Using a short-time Fourier transform and nonnegative matrix factorization, the signal is decomposed into rank components. Each component is then split into harmonic and percussive parts using masks calculated based on their tonalities. Finally, the harmonic and percussive parts are separated after applying the masks and a summation. We evaluate the algorithm based on real audio examples using both objective and subjective assessments. The proposed algorithm performs well for the separation of harmonic and percussive parts of jazz excerpts. © 2012 ETRI.
KSP Keywords
Nonnegative Matrix Factorization(NMF), Short time Fourier transform, Subjective assessment, new algorithm