Detail publikačního výsledku

Data adaptation for Hidden Markov Model in speech recognition

MATĚJKA, P., SIGMUND, M., ČERNOCKÝ, J.

Originální název

Data adaptation for Hidden Markov Model in speech recognition

Anglický název

Data adaptation for Hidden Markov Model in speech recognition

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální 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.

Anglický 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.

Klíčová slova v angličtině

speaker speach recognition gaussianization

Autoři

MATĚJKA, P., SIGMUND, M., ČERNOCKÝ, J.

Vydáno

25.04.2002

Místo

Brno

ISBN

80-214-2116-9

Kniha

Proceedings of 8th Conference STUDENT EEICT 2002

Strany od

317

Strany počet

4

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"
}