Combination of Speech Features Using Smoothed Heteroscedastic Linear Discriminant Analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F04%3APU49151" target="_blank" >RIV/00216305:26230/04:PU49151 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Combination of Speech Features Using Smoothed Heteroscedastic Linear Discriminant Analysis
Original language description
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.<br>Besides of some standard approaches increasing robustness of statistic estimation, methods based on combination of LDA aand HLDA are proposed. An improved recognition performance obtained using these methods is demonstrated in experiments.
Czech name
Kombinování řečových příznaků použitím vyhlazené heteroscedastické diskriminační analýzy
Czech description
Kombinování řečových příznaků použitím vyhlazené heteroscedastické diskriminační analýzy<br>
Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA102%2F02%2F0124" target="_blank" >GA102/02/0124: Voice technologies for support of information society</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2004
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proc. 8th International Conference on Spoken Language Processing
ISBN
1225-4111
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
2549-2552
Publisher name
Sunjin Printing Co,
Place of publication
Jeju island
Event location
Jeju Island
Event date
Oct 4, 2004
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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