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Multichannel nonnegative matrix factorization in convolutive mixtures for audio source separation (2010)
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| Venue: | IEEE TRANS. AUDIO, SPEECH, LANGUAGE PROCESS |
| Citations: | 75 - 16 self |
BibTeX
@ARTICLE{Ozerov10multichannelnonnegative,
author = {Alexey Ozerov and Cédric Févotte},
title = { Multichannel nonnegative matrix factorization in convolutive mixtures for audio source separation},
journal = {IEEE TRANS. AUDIO, SPEECH, LANGUAGE PROCESS},
year = {2010},
pages = {550--563}
}
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Abstract
We consider inference in a general data-driven object-based model of multichannel audio data, assumed generated as a possibly underdetermined convolutive mixture of source signals. Each source is given a model inspired from nonnegative matrix factorization (NMF) with the Itakura-Saito divergence, which underlies a statistical model of superimposed Gaussian components. We address estimation of the mixing and source parameters using two methods. The first one consists of maximizing the exact joint likelihood of the multichannel data using an expectation-maximization algorithm. The second method consists of maximizing the sum of individual likelihoods of all channels using a multiplicative update algorithm inspired from NMF methodology. Our decomposition algorithms were applied to stereo music and assessed in terms of blind source separation performance.
Keyphrases
multichannel nonnegative matrix factorization convolutive mixture audio source separation nonnegative matrix factorization expectation-maximization algorithm nmf methodology multiplicative update algorithm source signal multichannel data nonnegative tensor factorization address estimation underdetermined convolutive blind source separation superimposed gaussian component statistical model underdetermined convolutive mixture exact joint likelihood source parameter itakura-saito divergence multichannel audio data index term multichannel audio individual likelihood second method blind source separation performance general data-driven object-based model decomposition algorithm
