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Citation

Padrta, A. and Radová, V. : On the background model construction for speaker verification using GMM . Lecture Notes in Artificial Intelligence, 3206, p. 425-432, Springer, Berlin, 2004.

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Abstract

A method of speaker verification based on Gaussian mixture models is presented in this paper. The method works with a background model which is composed of several submodels. Several different approaches for construction of the background model from the submodels are introduced here: the log likelihood of the background model is determined either as the average of the log likelihoods of the particular submodels, or a maximum from the log likelihoods of the particular submodels is selected. A large number of experiments was performed in order to find which of the approaches gives the best result. All experiments show that procedures which use a maximum of the log likelihoods of the background submodels have better performance than the procedure which uses the average log likelihood.

Detail of publication

Title: On the background model construction for speaker verification using GMM
Author: Padrta, A. ; Radová, V.
Language: English
Date of publication: 8 Sep 2004
Year: 2004
Type of publication: Papers in journals
Title of journal or book: Lecture Notes in Artificial Intelligence
Series: 3206
Page: 425 - 432
ISBN: 0302-9743
ISSN: 0302-9743
Publisher: Springer
Address: Berlin
Date: 8 Sep 2004 - 11 Sep 2004
/ 2011-06-06 07:53:31 /

Keywords

speaker verification, score normalization, background model

BibTeX

@ARTICLE{PadrtaA_2004_Onthebackground_1,
 author = {Padrta, A. and Radov\'{a}, V.},
 title = {On the background model construction for speaker verification using GMM},
 year = {2004},
 publisher = {Springer},
 journal = {Lecture Notes in Artificial Intelligence},
 address = {Berlin},
 pages = {425-432},
 series = {3206},
 ISBN = {0302-9743},
 ISSN = {0302-9743},
 url = {http://www.kky.zcu.cz/en/publications/PadrtaA_2004_Onthebackground_1},
}