Publication Details

Combination of Speech Features Using Smoothed Heteroscedastic Linear Discriminant Analysis

BURGET, L. Combination of Speech Features Using Smoothed Heteroscedastic Linear Discriminant Analysis. Proc. 8th International Conference on Spoken Language Processing. Jeju island: Sunjin Printing Co, 2004. p. 2549-2552.

Czech title

Kombinování řečových příznaků použitím vyhlazené heteroscedastické diskriminační analýzy

Type

conference paper

Language

English

Authors

Burget Lukáš, doc. Ing., Ph.D. (DCGM)

URL

http://www.fit.vutbr.cz/~burget/publications/burget_icslp2004.pdf

Keywords

speech recognition, LDA, HLDA, feature extraction, feature combination

Abstract

Combination of Speech Features Using Smoothed Heteroscedastic Linear Discriminant Analysis

Annotation

Feature combination techniques based on PCA, LDA and HLDA are compared in experiments where limited amount of training data is available. Success with feature combination can be quite dependent on proper estimation of statistics required by the used technique. Insufficiency of training data is, therefore, an important problem, which has to be taken in to account in our experiments.
Besides of some standard approaches increasing robustness of statistic estimation, methods based on combination of LDA and HLDA are proposed. An improved recognition performance obtained using these methods is demonstrated in experiments.

Published

2004

Pages

2549–2552

Proceedings

Proc. 8th International Conference on Spoken Language Processing

Publisher

Sunjin Printing Co,

Place

Jeju island

BibTeX

@inproceedings{BUT17132,
  author="Lukáš {Burget}",
  title="Combination of Speech Features Using Smoothed Heteroscedastic Linear Discriminant Analysis",
  booktitle="Proc. 8th International Conference on Spoken Language Processing",
  year="2004",
  pages="2549--2552",
  publisher="Sunjin Printing Co,",
  address="Jeju island",
  url="http://www.fit.vutbr.cz/~burget/publications/burget_icslp2004.pdf"
}