Přístupnostní navigace
E-přihláška
Vyhledávání Vyhledat Zavřít
Detail publikace
BURGET, L.
Originální název
Combination of Speech Features Using Smoothed Heteroscedastic Linear Discriminant Analysis
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
speech recognition, LDA, HLDA, feature extraction, feature combination
Autoři
Rok RIV
2004
Vydáno
7. 6. 2004
Nakladatel
Sunjin Printing Co,
Místo
Jeju island
Strany od
2549
Strany do
2552
Strany počet
4
URL
http://www.fit.vutbr.cz/~burget/publications/burget_icslp2004.pdf
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" }