Journal article

BURGET Lukáš, MATĚJKA Pavel, SCHWARZ Petr, GLEMBEK Ondřej and ČERNOCKÝ Jan. Analysis of feature extraction and channel compensation in GMM speaker recognition system. IEEE Transactions on Audio, Speech, and Language Processing. 2007, vol. 15, no. 7, pp. 1979-1986. ISSN 1558-7916.
Publication language:english
Original title:Analysis of feature extraction and channel compensation in GMM speaker recognition system
Title (cs):Analýza výpočtu příznaků a kompenzace na kanál v GMM systému pro rozpoznávání mluvčího
Pages:1979-1986
Place:US
Year:2007
Journal:IEEE Transactions on Audio, Speech, and Language Processing, Vol. 15, No. 7, US
ISSN:1558-7916
URL:http://www.fit.vutbr.cz/research/groups/speech/publi/2007/burget_gmmspkver_t-asl_2007.pdf [PDF]
Keywords
Speaker recognition, GMM, feature warping, RASTA, HLDA, Feature Mapping, eigenchannel adaptation.
Annotation
The paper is about Analysis of feature extraction and channel compensation in GMM speaker recognition system.
Abstract
In this paper, several feature extraction and channel compensation techniques found in state-of-the-art speaker verification systems are analyzed and discussed. For NIST SRE 2006 submission, Cepstral Mean Subtraction, Feature Warping, RASTA filtering, HLDA, Feature Mapping and eigenchannel adaptation were incrementally added to minimize system's error rate. The key-part of the paper is however the post-evaluation analysis, undermining the common myth "the more boxes in the scheme, the better system". All results are presented on NIST SRE 2005 and 2006 data.
BibTeX:
@ARTICLE{
   author = {Luk{\'{a}}{\v{s}} Burget and Pavel Mat{\v{e}}jka and Petr
	Schwarz and Ond{\v{r}}ej Glembek and Jan
	{\v{C}}ernock{\'{y}}},
   title = {Analysis of feature extraction and channel compensation in
	GMM speaker recognition system},
   pages = {1979--1986},
   journal = {IEEE Transactions on Audio, Speech, and Language Processing},
   volume = {15},
   number = {7},
   year = {2007},
   ISSN = {1558-7916},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=8267}
}

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