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

Ngoc Duong 1, * Hideyuki Tachibana 2 Emmanuel Vincent 1 Nobutaka Ono 2 Rémi Gribonval 1 Shigeki Sagayama 2
* Corresponding author
1 METISS - Speech and sound data modeling and processing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : 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.
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Submitted on : Monday, May 16, 2011 - 4:26:00 PM
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Ngoc Duong, Hideyuki Tachibana, Emmanuel Vincent, Nobutaka Ono, Rémi Gribonval, et al.. Multichannel harmonic and percussive component separation by joint modeling of spatial and spectral continuity. Acoustics, Speech and Signal Processing, IEEE Conference on (ICASSP'11), May 2011, Prague, Czech Republic. ⟨10.1109/ICASSP.2011.5946376⟩. ⟨inria-00557145v2⟩

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