Článek ve sborníku konference

GLEMBEK Ondřej, BURGET Lukáš, DEHAK Najim, BRÜMMER Niko a KENNY Patrick. Comparison of Scoring Methods used in Speaker Recognition with Joint Factor Analysis. In: Proc. ICASSP 2009. Taipei: IEEE Signal Processing Society, 2009, s. 4. ISBN 978-1-4244-2354-5.
Jazyk publikace:angličtina
Název publikace:Comparison of Scoring Methods used in Speaker Recognition with Joint Factor Analysis
Název (cs):Srovnání skórovacích metod pro rozpoznávání řečníka s Joint Factor Analysis
Strany:4
Sborník:Proc. ICASSP 2009
Konference:International Conference on Acoustics, Speech, and Signal Processing
Místo vydání:Taipei, 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/glembek_icassp2009.pdf [PDF]
Klíčová slova
GMM, fast scoring, speaker recognition, joint factor analysis
Anotace
Tento článek pojednává o srovnání skórovacích metod pro rozpoznávání řečníka s Joint Factor Analysis (JFA).
Abstrakt
The aim of this paper is to compare different log-likelihood scoring methods, that different sites used in the latest state-of-the-art Joint Factor Analysis (JFA) Speaker Recognition systems. The algorithms use various assumptions and have been derived from various approximations of the objective functions of JFA. We compare the techniques in terms of speed and performance. We show, that approximations of the true log-likelihood ratio (LLR) may lead to significant speedup without any loss in performance.
BibTeX:
@INPROCEEDINGS{
   author = {Ondřej Glembek and Lukáš Burget and Najim Dehak and Niko
	Brümmer and Patrick Kenny},
   title = {Comparison of Scoring Methods used in Speaker Recognition
	with Joint Factor Analysis},
   pages = {4},
   booktitle = {Proc. ICASSP 2009},
   year = {2009},
   location = {Taipei, TW},
   publisher = {IEEE Signal Processing Society},
   ISBN = {978-1-4244-2354-5},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php.cs?id=9035}
}

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