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