Result Details

Data adaptation for Hidden Markov Model in speech recognition

MATĚJKA, P., SIGMUND, M., ČERNOCKÝ, J. Data adaptation for Hidden Markov Model in speech recognition. In Proceedings of 8th Conference STUDENT EEICT 2002. Brno: 2002. 4 p. ISBN: 80-214-2116-9.
Type
conference paper
Language
English
Authors
Matějka Pavel, Ing., Ph.D.
Sigmund Milan, prof. Ing., CSc.
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
Proceedings of 8th Conference STUDENT EEICT 2002
Edition
1
Conference
Student EEICT 2002
ISBN
80-214-2116-9
Place
Brno
BibTeX 
@inproceedings{BUT5410,
  author="Pavel {Matějka} and Milan {Sigmund} and Jan {Černocký}",
  title="Data adaptation for Hidden Markov Model in speech recognition",
  booktitle="Proceedings of 8th Conference STUDENT EEICT 2002",
  year="2002",
  number="1",
  pages="4",
  address="Brno",
  isbn="80-214-2116-9"
}
Departments
Department of Radio Electronics (UREL)
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