Detail publikace

Feature gaussianization in speech recognition

MATĚJKA, P., ČERNOCKÝ, J.

Originální název

Feature gaussianization in speech recognition

Anglický název

Feature gaussianization in speech recognition

Jazyk

en

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.

Dokumenty

BibTex


@inproceedings{BUT10283,
  author="Pavel {Matějka} and Jan {Černocký}",
  title="Feature gaussianization in speech recognition",
  annote="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.",
  address="Slovak University of Technology in Bratislava",
  booktitle="Proc. 12th International scientific conference Radioelektronika 2002",
  chapter="10283",
  institution="Slovak University of Technology in Bratislava",
  year="2002",
  month="may",
  pages="0",
  publisher="Slovak University of Technology in Bratislava",
  type="conference paper"
}