Real-time Large Vocabulary Spontaneous Speech Recognition for Spoken Dialog Systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F11%3A43898186" target="_blank" >RIV/49777513:23520/11:43898186 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/CISP.2011.6100773" target="_blank" >http://dx.doi.org/10.1109/CISP.2011.6100773</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CISP.2011.6100773" target="_blank" >10.1109/CISP.2011.6100773</a>
Alternative languages
Result language
angličtina
Original language name
Real-time Large Vocabulary Spontaneous Speech Recognition for Spoken Dialog Systems
Original language description
This paper describes the method for modifying the baseline speech recognition system to be suitable for a use in spoken dialog system with mixed initiative and natural user's input. We present three approaches for extending the recognition vocabulary toensure the spoken dialog system is able to recognize all entities in the given domain. The colloquial text normalization method is proposed. The experiments performed on spontaneous speech corpus suggested that the proposed method is very important for languages where the formal written language and a common colloquial speech are very different. The overall word error rate was reduced by 16.7%.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/1M0567" target="_blank" >1M0567: Centre for Applied Cybernetics</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<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 the 4th International Congress on Image and Signal Processing
ISBN
978-1-4577-1446-7
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
2458-2463
Publisher name
Institute of Electrical and Electronics Engineers (IEEE)
Place of publication
Shanghai
Event location
Shanghai, China
Event date
Oct 15, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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