MLSP 2007 data analysis competition: Frequency-domain blind source separation for convolutive mixtures of speech/audio signals

Machine Learning for Signal Processing 17 - Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP

Volumn , Issue , 2007, Pages 45-50

  Sawada, Hiroshi ^a   Araki, Shoko ^a   Makino, Shoji ^a  

^a Nippon Telegraph and Telephone Corporation   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ALIGNMENT; APARTMENT HOUSES; ARTIFICIAL INTELLIGENCE; BINS; BLIND SOURCE SEPARATION; CHLORINE COMPOUNDS; COMPETITION; FOURIER TRANSFORMS; HEMODYNAMICS; INDEPENDENT COMPONENT ANALYSIS; ISOMERS; LEARNING SYSTEMS; MIXTURES; ROBOT LEARNING; SEPARATION; SIGNAL ANALYSIS; SIGNAL PROCESSING; STATISTICAL METHODS; TIME DOMAIN ANALYSIS;

ALIGNMENT METHODS; CONVOLUTIVE MIXTURES; DATA ANALYSIS; FREQUENCY BINS; FREQUENCY DOMAIN APPROACHES; FREQUENCY DOMAINS; IEEE SIGNAL PROCESSING SOCIETY; INDEPENDENT COMPONENT ANALYSIS (ICA); INSTANTANEOUS MIXTURES; MACHINE-LEARNING; PERMUTATION AMBIGUITY; ROOM ENVIRONMENT; SOURCE SEPARATION; TIME DOMAIN OCT;

FREQUENCY DOMAIN ANALYSIS;

EID: 48149093698     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MLSP.2007.4414280     Document Type: Conference Paper

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