Minimum classification error training in example based speech and pattern recognition using sparse weight matrices

Journal of Computational and Applied Mathematics

Volumn 234, Issue 4, 2010, Pages 1303-1311

  Matton, Mike ^a   Van Compernolle, Dirk ^a   Cools, Ronald ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

Distance measures; Minimum classification error; Pattern recognition; Template based speech recognition

Indexed keywords

BASIC MODELS; BLOCK DIAGONAL; CLASSIFICATION ERRORS; CLASSIFICATION SYSTEM; COMPUTATIONAL LOADS; DATA SETS; DATA SPACE; DISTANCE MEASURE; EXAMPLE BASED; GAUSSIAN MIXTURES; GAUSSIANS; MINIMUM CLASSIFICATION ERROR; MINIMUM CLASSIFICATION ERROR CRITERIONS; MINIMUM CLASSIFICATION ERROR TRAINING; PATTERN CLASSIFICATION; SPEECH RECOGNITION SYSTEMS; STATISTICAL MODELS; TEMPLATE-BASED; WEIGHT MATRICES;

CLASSIFICATION (OF INFORMATION); HIDDEN MARKOV MODELS; MATRIX ALGEBRA; PATTERN RECOGNITION SYSTEMS; PROBABILITY DENSITY FUNCTION;

SPEECH RECOGNITION;

EID: 77950339719     PISSN: 03770427     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cam.2009.11.006     Document Type: Article

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