Representative and discriminant feature extraction based on NMF for emotion recognition in speech

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5863 LNCS, Issue PART 1, 2009, Pages 649-656

  Kim, Dami ^a,b   Lee, Soo Young ^a,b   Amari, Shun Ichi ^b  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^b RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

Author keywords

Discriminant feature; Feature extraction; Feature selection; Fisher criterion; NMF

Indexed keywords

CLASSIFICATION TASKS; DISCRIMINANT FEATURE EXTRACTION; EMOTION RECOGNITION; FEATURE EXTRACTION ALGORITHMS; FEATURE SELECTION; FISHER CRITERION; NONNEGATIVE MATRIX FACTORIZATION; RECOGNITION RATES; STATISTICAL FEATURES;

BLIND SOURCE SEPARATION; DATA PROCESSING; FACTORIZATION; SPEECH RECOGNITION; TIME SERIES;

FEATURE EXTRACTION;

EID: 76649136946     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-10677-4_74     Document Type: Conference Paper

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