Phoneme confidence estimator based on Gaussian mixture models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F09%3APU84615" target="_blank" >RIV/00216305:26220/09:PU84615 - 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
Phoneme confidence estimator based on Gaussian mixture models
Original language description
The paper propose a statistical approach to phoneme confidence estimation and classification. For this purpose a set of Gaussian Mixture models are trained on the TIMIT corpus.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BD - Information theory
OECD FORD branch
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Result continuities
Project
<a href="/en/project/2E08035" target="_blank" >2E08035: Support for research consortia aimed at improving the working conditions of science and research workers via telematic services.</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Transactions on Communication and Signal Processing
ISSN
1738-9682
e-ISSN
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Volume of the periodical
13
Issue of the periodical within the volume
13
Country of publishing house
KR - KOREA, REPUBLIC OF
Number of pages
8
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
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