Open AccessHarmonic and Percussive Separation Based on NMF and Tonality Mask
Author(s) -
Choi Keunwoo,
Chon Sang Bae,
Kang Kyeongok
Publication year - 2012
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.12.0212.0107
Subject(s) - non negative matrix factorization , harmonic , tonality , source separation , jazz , algorithm , signal (programming language) , computer science , matrix (chemical analysis) , mathematics , artificial intelligence , speech recognition , acoustics , matrix decomposition , physics , materials science , art , musical , visual arts , eigenvalues and eigenvectors , quantum mechanics , composite material , programming language
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.