Squared Euclidean distance based convolutive non-negative matrix factorization with multiplicative learning rules for audio pattern separation

ISSPIT 2007 - 2007 IEEE International Symposium on Signal Processing and Information Technology

Volumn , Issue , 2007, Pages 347-352

  Wang, Wenwu ^a  

^a UNIVERSITY OF SURREY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AUDITORY PATTERNS; BASIS DECOMPOSITION; COMPUTATIONAL LOADS; CONVOLUTIVE MODELS; EXISTING METHOD; KULLBACK LEIBLER DIVERGENCE; LEARNING RULES; LOW RANK APPROXIMATIONS; MAGNITUDE SPECTRUM; NONNEGATIVE MATRIX FACTORIZATION; NOVEL ALGORITHM; NUMERICAL EXPERIMENTS; SEPARATION PERFORMANCE; SEPARATION PROBLEMS; SQUARED EUCLIDEAN DISTANCE; TEMPORAL STRUCTURES;

BLIND SOURCE SEPARATION; ENCODING (SYMBOLS); FACE RECOGNITION; FEATURE EXTRACTION; INFORMATION TECHNOLOGY; LIGHT MEASUREMENT; SIGNAL PROCESSING; SPEECH RECOGNITION;

FACTORIZATION;

EID: 47749092963     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISSPIT.2007.4458186     Document Type: Conference Paper

References (8)

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