About: Analysis of feature extraction and channel compensation in GMM speaker recognition system

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	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. 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. (en) Článek je o analýze výpočtu příznaků a kompenzaci na kanál v GMM systému pro rozpoznávání mluvčího (cs)
Title	Analysis of feature extraction and channel compensation in GMM speaker recognition system Analýza výpočtu příznaků a kompenzace na kanál v GMM systému pro rozpoznávání mluvčího (cs) Analysis of feature extraction and channel compensation in GMM speaker recognition system (en)
skos:prefLabel	Analysis of feature extraction and channel compensation in GMM speaker recognition system Analýza výpočtu příznaků a kompenzace na kanál v GMM systému pro rozpoznávání mluvčího (cs) Analysis of feature extraction and channel compensation in GMM speaker recognition system (en)
skos:notation	RIV/00216305:26230/07:PU70764!RIV08-MSM-26230___
http://linked.open.../vavai/riv/strany	1979-1986
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(GA102/05/0278), P(GP102/06/P383), Z(MSM0021630528)
http://linked.open...iv/cisloPeriodika	7
http://linked.open...vai/riv/dodaniDat	2008
http://linked.open...aciTvurceVysledku	Burget, Lukáš Černocký, Jan Glembek, Ondřej Matějka, Pavel Schwarz, Petr
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta informačních technologií
http://linked.open...dnocenehoVysledku	409470
http://linked.open...ai/riv/idVysledku	RIV/00216305:26230/07:PU70764
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Speaker recognition, GMM, feature warping, RASTA, HLDA, Feature Mapping, eigenchannel adaptation. (en)
http://linked.open.../riv/klicoveSlovo	Speaker recognition GMM HLDA RASTA Feature Mapping eigenchannel adaptation. feature warping
http://linked.open...odStatuVydavatele	US - Spojené státy americké
http://linked.open...ontrolniKodProRIV	[437A6004312A]
http://linked.open...i/riv/nazevZdroje	IEEE Transactions on Audio, Speech, and Language Processing
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	5 (xsd:int)
http://linked.open...cetTvurcuVysledku	5 (xsd:int)
http://linked.open...vavai/riv/projekt	New trends in research and application of voice technology Interactive Keyword Detector
http://linked.open...UplatneniVysledku	2007
http://linked.open...v/svazekPeriodika	15
http://linked.open...iv/tvurceVysledku	Burget, Lukáš Schwarz, Petr Černocký, Jan Glembek, Ondřej Matějka, Pavel
http://linked.open...n/vavai/riv/zamer	Výzkum informačních technologií z hlediska bezpečnosti
issn	1558-7916
number of pages	8 (xsd:int)
http://localhost/t...ganizacniJednotka	26230

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