Incremental LSTM-based Dialog State Tracker

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10335438" target="_blank" >RIV/00216208:11320/15:10335438 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Incremental LSTM-based Dialog State Tracker
Original language description
A dialog state tracker is an important component in modern spoken dialog systems. We present an incremental dialog state tracker, based on LSTM networks. It directly uses automatic speech recognition hypotheses to track the state. We also present the key non-standard aspects of the model that bring its performance close to the state-of-the-art and experimentally analyze their contribution: including the ASR confi- dence scores, abstracting scarcely represented values, including transcriptions in the training data, and model averaging
Czech name
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Czech description
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Project
<a href="/en/project/LK11221" target="_blank" >LK11221: Development of statistical methods for spoken dalogue systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
IEEE ASRU '15: Proc. IEEE Automatic Speech Recognition and Understanding
ISBN
978-1-4799-7291-3
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
757-762
Publisher name
IEEE
Place of publication
Phoenix, AZ, USA
Event location
Phoenix, AZ, USA
Event date
Dec 13, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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