Result Details
Some like it Gaussian ...
MATĚJKA, P., SCHWARZ, P., KARAFIÁT, M., ČERNOCKÝ, J. Some like it Gaussian ... In Proceedings of the conference TSD'2002. Brno 2002: 2002. 4 p. ISBN: 3-540-44129-8.
Type
conference paper
Language
English
Authors
Matějka Pavel, Ing., Ph.D.
Schwarz Petr, Ing., Ph.D.
Karafiát Martin, Ing., Ph.D.
Černocký Jan, prof. Dr. Ing.
Schwarz Petr, Ing., Ph.D.
Karafiát Martin, Ing., Ph.D.
Černocký Jan, prof. Dr. Ing.
Abstract
In Hidden Markov models, speech features 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 have tested two methods of the transform estimation (global and speaker based). The results are reported on recognition of isolated Czech words (SpeechDat-E) with CI and CD models and on medium vocabulary continuous speech recognition task (SPINE). Gaussianized data provided in all three cases results superior to standard MFC coefficients proving, that the gaussianization is a cheap way to increase the recognition accuracy.
Published
2002
Pages
4
Proceedings
Proceedings of the conference TSD'2002
Edition
1
Conference
International Conference on Text Speech and Dialogue, TSD 2002
ISBN
3-540-44129-8
Place
Brno 2002
BibTeX
@inproceedings{BUT4282,
author="Pavel {Matějka} and Petr {Schwarz} and Martin {Karafiát} and Jan {Černocký}",
title="Some like it Gaussian ...",
booktitle="Proceedings of the conference TSD'2002",
year="2002",
number="1",
pages="4",
address="Brno 2002",
isbn="3-540-44129-8"
}
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