Improved Feature Processing for Deep Neural Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F13%3APU106412" target="_blank" >RIV/00216305:26230/13:PU106412 - isvavai.cz</a>
Result on the web
<a href="http://www.fit.vutbr.cz/research/groups/speech/publi/2013/rath2_interspeech2013_IS130300.pdf" target="_blank" >http://www.fit.vutbr.cz/research/groups/speech/publi/2013/rath2_interspeech2013_IS130300.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Improved Feature Processing for Deep Neural Networks
Original language description
In this paper, we explore various methods of providing higherdimensional features to DNNs, while still applying speaker adaptation with fMLLR of low dimensionality.
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)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2013
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 2013
ISBN
978-1-62993-443-3
ISSN
2308-457X
e-ISSN
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Number of pages
5
Pages from-to
109-113
Publisher name
International Speech Communication Association
Place of publication
Lyon
Event location
Lyon, Francie
Event date
Jun 28, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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