Speaker vectors from Subspace Gaussian Mixture Model as complementary features for Language Identification
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F12%3APU101820" target="_blank" >RIV/00216305:26230/12:PU101820 - 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
Speaker vectors from Subspace Gaussian Mixture Model as complementary features for Language Identification
Original language description
In this paper we have presented new features for language identification, based on speaker adaptation vectors from sub-space Gaussian Mixture Models.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
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
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of Odyssey 2012, The Speaker and Language Recognition Workshop
ISBN
978-981-07-3093-2
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
330-333
Publisher name
International Speech Communication Association
Place of publication
Singapur
Event location
Singapur
Event date
Jun 25, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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