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TSD
2007
Springer

Maximum Likelihood and Maximum Mutual Information Training in Gender and Age Recognition System

14 years 5 months ago
Maximum Likelihood and Maximum Mutual Information Training in Gender and Age Recognition System
Abstract. Gender and age estimation based on Gaussian Mixture Models (GMM) is introduced. Telephone recordings from the Czech SpeechDatEast database are used as training and test data set. Mel-Frequency Cepstral Coefficients (MFCC) are extracted from the speech recordings. To estimate the GMMs’ parameters Maximum Likelihood (ML) training is applied. Consequently these estimations are used as the baseline for Maximum Mutual Information (MMI) training. Results achieved when employing both ML and MMI training are presented and discussed.
Valiantsina Hubeika, Igor Szöke, Lukas Burget
Added 09 Jun 2010
Updated 09 Jun 2010
Type Conference
Year 2007
Where TSD
Authors Valiantsina Hubeika, Igor Szöke, Lukas Burget, Jan Cernocký
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