Result Details

Feature Gaussianization for Speech Recognition

MATĚJKA, P., ČERNOCKÝ, J. Feature Gaussianization for Speech Recognition. In Conference Proceedings. Bratislava,Slovak Republic: Slovak University of Technology in Bratislava, 2002. 4 p. ISBN: 80-227-1700-2.
Type
conference paper
Language
English
Authors
Matějka Pavel, Ing., Ph.D., UREL (FEEC)
Černocký Jan, prof. Dr. Ing.
Abstract

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.

Published
2002
Pages
4
Proceedings
Conference Proceedings
Conference
RADIOELEKTRONIKA 2002 12th International Czech-Slovak Scientific Conference
ISBN
80-227-1700-2
Publisher
Slovak University of Technology in Bratislava
Place
Bratislava,Slovak Republic
BibTeX 
@inproceedings{BUT5411,
  author="Pavel {Matějka} and Jan {Černocký}",
  title="Feature Gaussianization for Speech Recognition",
  booktitle="Conference Proceedings",
  year="2002",
  pages="4",
  publisher="Slovak University of Technology in Bratislava",
  address="Bratislava,Slovak Republic",
  isbn="80-227-1700-2"
}
Departments
Department of Radio Electronics (UREL)
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