Autoencoder based multi-stream combination for noise robust speech recognition
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F15%3APU117049" target="_blank" >RIV/00216305:26230/15:PU117049 - isvavai.cz</a>
Result on the web
<a href="http://www.fit.vutbr.cz/research/groups/speech/publi/2015/mallidi_interspeech2015_IS150897.pdf" target="_blank" >http://www.fit.vutbr.cz/research/groups/speech/publi/2015/mallidi_interspeech2015_IS150897.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Autoencoder based multi-stream combination for noise robust speech recognition
Original language description
In this paper, we have proposed techniques to estimate performance of DNN based classifiers. The technique is based on modeling the distribution of DNN outputs, using autoencoders.
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
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
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
Proceeding 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
3551-3555
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
000380581601277