Článek ve sborníku konference

 
Matějka, P., Černocký, J.: Feature gaussianization in speech recognition, In: Proc. 12th International scientific conference Radioelektronika 2002, Bratislava, SK, STUBA, 2002, s. 4, ISBN 80-227-1700-2
Jazyk publikace:angličtina
Název publikace:Feature gaussianization in speech recognition
Název (cs):Gaussianizace dat v rozpoznávání řeči
Strany:4
Sborník:Proc. 12th International scientific conference Radioelektronika 2002
Konference:12th International Czech-Slovak Scientific conference Radioelektronika 2002
Místo vydání:Bratislava, SK
Rok:2002
ISBN:80-227-1700-2
Vydavatel:Slovenská technická univerzita v Bratislavě
URL:http://www.fit.vutbr.cz/~matejkap/publi/2002/RA2002.pdf [PDF]
Klíčová slova
rozpoznávání řeči,Gaussianization
Anotace
Gaussianizace dat v rozpoznávání řeči
Abstrakt
In Hidden Markov models, speech data are modeled by Gaussian distributions. In this paper, we propose to Gaussianize the features to better fit to this modeling. A distribution of the data is estimated and a transform function is derived. We test three methods of the transform estimation (global, speaker based, frame based) and report results on the SPINE 2000 task with SPhinx recognizer. We conclude that the proposed method is a cheap way to increase the recognition accuracy.
BibTeX:
@INPROCEEDINGS{
   author = {Pavel Matějka and Jan Černocký},
   title = {Feature gaussianization in speech recognition},
   pages = {4},
   booktitle = {Proc. 12th International scientific conference
	Radioelektronika 2002},
   year = {2002},
   location = {Bratislava, SK},
   publisher = {Slovak University of Technology in Bratislava},
   ISBN = {80-227-1700-2},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=7082}
}