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MATĚJKA, P., ČERNOCKÝ, J.
Original Title
Feature gaussianization in speech recognition
Type
conference paper
Language
English
Original 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.
Keywords
speech recognition, Gaussianization, non-linear transform
Authors
RIV year
2003
Released
16. 5. 2002
Publisher
Slovak University of Technology in Bratislava
Location
Bratislava
ISBN
80-227-1700-2
Book
Proc. 12th International scientific conference Radioelektronika 2002
Pages count
4
URL
http://www.fit.vutbr.cz/~matejkap/publi/2002/RA2002.pdf
BibTex
@inproceedings{BUT10283, author="Pavel {Matějka} and Jan {Černocký}", title="Feature gaussianization in speech recognition", booktitle="Proc. 12th International scientific conference Radioelektronika 2002", year="2002", pages="4", publisher="Slovak University of Technology in Bratislava", address="Bratislava", isbn="80-227-1700-2", url="http://www.fit.vutbr.cz/~matejkap/publi/2002/RA2002.pdf" }