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학술지 Harmonic and Percussive Separation based on NMF and Tonality Mask
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저자
최근우, 전상배, 강경옥
발행일
201212
출처
ETRI Journal, v.34 no.6, pp.958-961
ISSN
1225-6463
출판사
한국전자통신연구원 (ETRI)
DOI
https://dx.doi.org/10.4218/etrij.12.0212.0107
협약과제
11MR1700, 차세대음향 핵심기술 개발 및 산업 활성화 지원센터 구축, 서정일
초록
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.
키워드
Music information retrieval, Source separation
KSP 제안 키워드
Information retrieval(IR), Music information retrieval, Nonnegative Matrix Factorization(NMF), Short-time fourier transform, Subjective assessment, new algorithm, source separation