A support vector machine-based gender identification using speech signal

IEICE Transactions on Communications

Volumn E91-B, Issue 10, 2008, Pages 3326-3329

  Lee, Kye Hwan ^a   Kang, Sang Ick ^a   Kim, Deok Hwan ^a   Chang, Joon Hyuk ^a  

^a Inha University   (South Korea)

Author keywords

Fundamental frequency; Gender identification; GMM; Speech signal; SVM

Indexed keywords

GAUSSIAN DISTRIBUTION; NATURAL FREQUENCIES; SOCIAL SCIENCES; SPEECH COMMUNICATION; SUPPORT VECTOR MACHINES;

BINARY CLASSIFICATION; CLASSIFICATION PERFORMANCE; FUNDAMENTAL FREQUENCIES; GAUSSIAN MIXTURE MODEL; GENDER IDENTIFICATION; MEL-FREQUENCY CEPSTRAL COEFFICIENTS; NONLINEAR BOUNDARY; SPEECH SIGNALS;

SPEECH RECOGNITION;

EID: 67651030806     PISSN: 09168516     EISSN: 17451345     Source Type: Journal    
DOI: 10.1093/ietcom/e91-b.10.3326     Document Type: Article

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