Semantic Entity Detection in the Spoken Air Traffic Control Data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F14%3A43922931" target="_blank" >RIV/49777513:23520/14:43922931 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007%2F978-3-319-11581-8_49" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-11581-8_49</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-11581-8_49" target="_blank" >10.1007/978-3-319-11581-8_49</a>
Alternative languages
Result language
angličtina
Original language name
Semantic Entity Detection in the Spoken Air Traffic Control Data
Original language description
The paper deals with the semantic entity detection (SED) in the ASR lattices obtained by recognizing the air traffic control dialogs. The presented method is intended for the use in an automatic training tool for air traffic controllers. The semantic entities are modeled using the expert-defined context-free grammars. We use a novel approach which allows processing of uncertain input in the form of weighted finite state transducer. The method was experimentally evaluated on the real data. We also compare two methods for utilization of the knowledge about the dialog environment in the SED process. The results show that the SED with the knowledge about target semantic entities improves the equal error rate from 24.7% to 17.1% in comparison to generic SED.
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/TA01030476" target="_blank" >TA01030476: Intelligent technologies for improving air traffic security</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Speech and Computer, 16th International Conference, SPECOM 2014, Novi Sad, Serbia, October 5-9, 2014, Proceedings
ISBN
978-3-319-11580-1
ISSN
0302-9743
e-ISSN
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Number of pages
8
Pages from-to
394-401
Publisher name
Springer
Place of publication
Heidelberg
Event location
Novi Sad, Serbia
Event date
Oct 5, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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