Age and gender recognition for telephone applications based on GMM supervectors and support vector machines

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2008, Pages 1605-1608

  Bocklet, Tobias ^a   Maier, Andreas ^a   Bauer, Josef G ^b   Burkhardt, Felix ^c   Nöth, Elmar ^a  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

^b SIEMENS AG   (Germany)

^c T SYSTEMS   (Germany)

Author keywords

Acoustic signal analysis; Age; Gaussian mixture models (GMM); Gender; Speaker classification; Support vector machine (SVM)

Indexed keywords

ACOUSTICS; CONFORMAL MAPPING; GEARS; IMAGE RETRIEVAL; INFORMATION RETRIEVAL SYSTEMS; LEARNING SYSTEMS; MAGNETOSTRICTIVE DEVICES; MULTILAYER NEURAL NETWORKS; POLYNOMIAL APPROXIMATION; POLYNOMIALS; SIGNAL PROCESSING; SPEECH; SPEECH RECOGNITION;

ACOUSTIC SIGNAL ANALYSIS; AGE; GAUSSIAN MIXTURE MODELS (GMM); GENDER; SPEAKER CLASSIFICATION; SUPPORT VECTOR MACHINE (SVM);

SUPPORT VECTOR MACHINES;

EID: 51449091542     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2008.4517932     Document Type: Conference Paper

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