Adaptation of bayesian models for single-channel source separation and its application to voice/music separation in popular songs

IEEE Transactions on Audio, Speech and Language Processing

Volumn 15, Issue 5, 2007, Pages 1564-1578

  Ozerov, Alexey ^a,b,c   Philippe, Pierrick ^a   Bimbot, Frédéric ^b   Gribonval, Rémi ^b  

^a ORANGE LABS   (France)

^b INRIA   (France)

^c ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

Adaptive Wiener filtering; Bayesian model; Expectation maximization (EM); Gaussian mixture model (GMM); Maximum a posteriori (MAP); Model adaptation; Single channel source separation; Time frequency masking

Indexed keywords

ADAPTIVE WIENER FILTERING; BAYESIAN MODEL; EXPECTATION MAXIMIZATION (EM); GAUSSIAN MIXTURE MODEL (GMM); MAXIMUM A POSTERIORI (MAP); MODEL ADAPTATION; SINGLE-CHANNEL SOURCE SEPARATION; TIME-FREQUENCY MASKING;

ADAPTIVE FILTERING; CHANNEL CAPACITY; COMMUNICATION CHANNELS (INFORMATION THEORY); IMAGE SEGMENTATION; MAGNETOSTRICTIVE DEVICES; MAXIMUM PRINCIPLE; OBJECT RECOGNITION; SEPARATION; SIGNAL ANALYSIS; TRELLIS CODES;

BAYESIAN NETWORKS;

EID: 51449094735     PISSN: 15587916     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASL.2007.899291     Document Type: Article

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