Recurrent Neural Network based Language Modeling in Meeting Recognition
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F11%3APU96153" target="_blank" >RIV/00216305:26230/11:PU96153 - 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
Recurrent Neural Network based Language Modeling in Meeting Recognition
Original language description
In this paper we recommend the use of RNN language models as easy mean to improve an existing LVCSR system, either by improving ngram models using data sampled from an RNN or by performing the proposed rescoring and adaptation postprocessing steps.
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
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2011
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 2011
ISBN
978-1-61839-270-1
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
2877-2880
Publisher name
International Speech Communication Association
Place of publication
Florence
Event location
Florence Italy
Event date
Aug 27, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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