The Language-Independent Bottleneck Features
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F12%3APU101840" target="_blank" >RIV/00216305:26230/12:PU101840 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/SLT.2012.6424246" target="_blank" >http://dx.doi.org/10.1109/SLT.2012.6424246</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SLT.2012.6424246" target="_blank" >10.1109/SLT.2012.6424246</a>
Alternative languages
Result language
angličtina
Original language name
The Language-Independent Bottleneck Features
Original language description
The paper is about language-independent bottleneck features, which are generated by Multi-lingual Neural Network. This leads to features which are not biased towards any of the source languages, making the features effectively language independent.
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)
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 IEEE 2012 Workshop on Spoken Language Technology
ISBN
978-1-4673-5124-9
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
336-341
Publisher name
IEEE Signal Processing Society
Place of publication
Miami
Event location
Miami Beach Resort, Miami, FLorida
Event date
Dec 2, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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