DocumentCode :
2303185
Title :
Data duration and model size dependency of GMM- and SVM-based speaker verification performance
Author :
Dikici, Eriniç ; Saraçlar, Murat
Author_Institution :
Elektrik ve Elektron. Muhendisligi Bolumu, Bogazici Univ., Istanbul, Turkey
fYear :
2009
fDate :
9-11 April 2009
Firstpage :
337
Lastpage :
340
Abstract :
This study aims to present two methods for speaker verification problem using Gaussian mixture models and support vector machines over the CSLU speaker recognition database. The performance of these two classifiers for various training and test data durations and model sizes are compared. The effect of score fusion on verification error rates is investigated.
Keywords :
Gaussian processes; pattern classification; speaker recognition; support vector machines; CSLU speaker recognition database; Gaussian mixture model; data duration; model size dependency; score fusion; speaker verification; support vector machine; Databases; Error analysis; Speaker recognition; Support vector machine classification; Support vector machines; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications Conference, 2009. SIU 2009. IEEE 17th
Conference_Location :
Antalya
Print_ISBN :
978-1-4244-4435-9
Electronic_ISBN :
978-1-4244-4436-6
Type :
conf
DOI :
10.1109/SIU.2009.5136401
Filename :
5136401
Link To Document :
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