Combining five acoustic level modeling methods for automatic speaker age and gender recognition

Proceedings of the 11th Annual Conference of the International Speech Communication Association, INTERSPEECH 2010

Volumn , Issue , 2010, Pages 2826-2829

  Li, Ming ^a   Jung, Chi Sang ^b   Han, Kyu J ^a  

^a University of Southern California ^*  (United States)

^b Yonsei University   (South Korea)

Author keywords

Age; Gaussian mixture models; Gender; Maximum likelihood linear regression; Score level fusion; Supervector; Support vector machine; Tandem

Indexed keywords

CLASSIFICATION (OF INFORMATION); GAUSSIAN DISTRIBUTION; MAXIMUM LIKELIHOOD; OBJECT RECOGNITION; SPEECH COMMUNICATION; SPEECH RECOGNITION; SUPPORT VECTOR REGRESSION; COMMUNICATION CHANNELS (INFORMATION THEORY);

GAUSSIAN MIXTURE MODEL; GENDER; MAXIMUM LIKELIHOOD LINEAR REGRESSION; SCORE-LEVEL FUSION; SUPERVECTOR; TANDEM; ACOUSTIC LEVELS; AGE; MEL FREQUENCY CEPSTRAL CO-EFFICIENT; SUPPORT VECTORS MACHINE;

SUPPORT VECTOR MACHINES;

EID: 79959838775     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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