Multichannel harmonic and percussive component separation by joint modeling of spatial and spectral continuity

This paper considers the blind separation of the harmonic and percussive components of multichannel music signals. We model the contribution of each source to all mixture channels in the time-frequency domain via a spatial covariance matrix, which encodes its spatial characteristics, and a scalar sp...

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Bibliographic Details
Published in:2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 205 - 208
Main Authors: Duong, Ngoc Q. K., Tachibana, Hideyuki, Vincent, Emmanuel, Ono, Nobutaka, Gribonval, Remi, Sagayama, Shigeki
Format: Conference Proceeding
Language:English
Published: IEEE 01.05.2011
Subjects:
continuity prior
Covariance matrix
Estimation
Harmonic analysis
Harmonic and percussive source separation
local Gaussian model
Markov processes
Mathematical model
Source separation
Time frequency analysis
ISBN:9781457705380, 1457705389
ISSN:1520-6149
Online Access:Get full text
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Summary:This paper considers the blind separation of the harmonic and percussive components of multichannel music signals. We model the contribution of each source to all mixture channels in the time-frequency domain via a spatial covariance matrix, which encodes its spatial characteristics, and a scalar spectral variance, which represents its spectral structure. We then exploit the spatial continuity and the different spectral continuity structures of harmonic and percussive components as prior information to derive maximum a posteriori (MAP) estimates of the parameters using the expectation-maximization (EM) algorithm. Experimental results over professional musical mixtures show the effectiveness of the proposed approach.
ISBN:9781457705380
1457705389
ISSN:1520-6149
DOI:10.1109/ICASSP.2011.5946376