Multilingual Bottleneck Features for Language Recognition
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F15%3APU117045" target="_blank" >RIV/00216305:26230/15:PU117045 - isvavai.cz</a>
Result on the web
<a href="http://www.fit.vutbr.cz/research/groups/speech/publi/2015/fer_interspeech2015_IS150860.pdf" target="_blank" >http://www.fit.vutbr.cz/research/groups/speech/publi/2015/fer_interspeech2015_IS150860.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Multilingual Bottleneck Features for Language Recognition
Original language description
In this work, we applied multilingual training paradigm of SBN neural networks to extract linguistically rich features.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
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)
Others
Publication year
2015
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 Interspeech 2015
ISBN
978-1-5108-1790-6
ISSN
1990-9772
e-ISSN
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Number of pages
5
Pages from-to
389-393
Publisher name
International Speech Communication Association
Place of publication
Dresden
Event location
Dresden
Event date
Sep 6, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000380581600079