Článek ve sborníku konference

 
Dehak, N., Kenny, P., Dehak, R., Glembek, O., Dumouchel, P., Burget, L., Hubeika, V., Castaldo, F.: Support vector machines and joint factor analysis for speaker verification, In: Proc. ICASSP 2009, Taiwan, TW, IEEESP, 2009, s. 4, ISBN 978-1-4244-2354-5
Jazyk publikace:angličtina
Název publikace:Support vector machines and joint factor analysis for speaker verification
Název (cs):Support vector machines a joint factor analysis pro verifikaci mluvčího
Strany:4
Sborník:Proc. ICASSP 2009
Konference:International Conference on Acoustics, Speech, and Signal Processing
Místo vydání:Taiwan, TW
Rok:2009
ISBN:978-1-4244-2354-5
Vydavatel:IEEE Signal Processing Society
URL:http://www.fit.vutbr.cz/research/groups/speech/publi/2009/NAJIM_ICASSP2009.pdf [PDF]
Klíčová slova
Joint Factor Analysis, Support Vector Machine, Speaker factors space, Within Class Covariance Normalization
Anotace
Článek je o support vector machines a joint factor analysis pro verifikaci mluvčího
Abstrakt
This article presents several techniques to combine between Support vector machines (SVM) and Joint Factor Analysis (JFA) model for speaker verification. In this combination, the SVMs are applied in different sources of information produced by the JFA. These informations are the Gaussian Mixture Model supervectors and speakers and Common factors. We found that the use of JFA factors gave the best results especially when within class covariance normalization method is applied in the speaker factors space in order to compensate for the channel effect. The new combination results are comparable to other classical JFA scoring techniques.
BibTeX:
@INPROCEEDINGS{
   author = {Najim Dehak and Patrick Kenny and Reda Dehak and Ondřej
	Glembek and Pierre Dumouchel and Lukáš Burget and
	Valiantsina Hubeika and Fabio Castaldo},
   title = {Support vector machines and joint factor analysis for
	speaker verification},
   pages = {4},
   booktitle = {Proc. ICASSP 2009},
   year = {2009},
   location = {Taiwan, TW},
   publisher = {IEEE Signal Processing Society},
   ISBN = {978-1-4244-2354-5},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=9033}
}