Detail výsledku

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.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Matějka Pavel, Ing., Ph.D.
Sigmund Milan, prof. Ing., CSc.
Černocký Jan, prof. Dr. Ing.
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.

Rok
2002
Strany
4
Sborník
Proceedings of 8th Conference STUDENT EEICT 2002
Vydání
1
Konference
Student EEICT 2002
ISBN
80-214-2116-9
Místo
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"
}
Pracoviště
Ústav radioelektroniky (UREL)
Nahoru