Single-Channel mixture decomposition using bayesian harmonic models

Authors:
Emmanuel Vincent;Mark D. Plumbley
Affiliations:
Electronic Engineering Department, Queen Mary, University of London, London, United Kingdom;Electronic Engineering Department, Queen Mary, University of London, London, United Kingdom
Venue:
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
Year:
2006

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Abstract

We consider the source separation problem for single-channel music signals. After a brief review of existing methods, we focus on decomposing a mixture into components made of harmonic sinusoidal partials. We address this problem in the Bayesian framework by building a probabilistic model of the mixture combining generic priors for harmonicity, spectral envelope, note duration and continuity. Experiments suggest that the derived blind decomposition method leads to better separation results than nonnegative matrix factorization for certain mixtures.