Monaural music source separation: nonnegativity, sparseness, and shift-invariance

Authors:
Minje Kim;Seungjin Choi
Affiliations:
Department of Computer Science, Pohang University of Science and Technology, Pohang, Korea;Department of Computer Science, Pohang University of Science and Technology, Pohang, Korea
Venue:
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
Year:
2006

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Abstract

In this paper we present a method for polyphonic music source separation from their monaural mixture, where the underlying assumption is that the harmonic structure of a musical instrument remains roughly the same even if it is played at various pitches and is recorded in various mixing environments. We incorporate with nonnegativity, shift-invariance, and sparseness to select representative spectral basis vectors that are used to restore music sources from their monaural mixture. Experimental results with monaural instantaneous mixture of voice/cello and monaural convolutive mixture of saxophone/viola, are shown to confirm the validity of our proposed method.