A tractable framework for estimating and combining spectral source models for audio source separation

Signal Processing

Volumn 92, Issue 8, 2012, Pages 1886-1901

  Arberet, Simon ^a   Ozerov, Alexey ^b   Bimbot, Frédéric ^c   Gribonval, Rémi ^b  

^a EPFL   (Switzerland)

^b INRIA   (France)

^c CAMPUS DE BEAULIEU   (France)

Author keywords

Blind source separation; Convolutive mixture; Expectationmaximization algorithm; Gaussian mixture model; Multichannel audio

Indexed keywords

AUDIO SOURCE SEPARATION; AUDIO SOURCES; CONVOLUTIVE MIXTURE; EXPECTATION MAXIMIZATION; EXPECTATION-MAXIMIZATION ALGORITHMS; EXPONENTIAL COMPLEXITY; GAUSSIAN MIXTURE MODEL; GAUSSIANS; LINEAR COMPLEXITY; MIXTURE MODEL; MULTICHANNEL AUDIO; NOISY SOURCES; NONNEGATIVE MATRIX FACTORIZATION; PROBABILISTIC MODELS; SOURCE MODELS; SPARSE DISTRIBUTION; SPECTRAL MODELS; SPECTROGRAMS; STATE-BASED MODELS; STATE-OF-THE-ART APPROACH; STATISTICAL DIVERSITY; TIME FREQUENCY;

INDEPENDENT COMPONENT ANALYSIS;

BLIND SOURCE SEPARATION;

EID: 84858069176     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2011.12.022     Document Type: Article

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