Publication Details

A Two-Step Approach to Leverage Contextual Data: Speech Recognition in Air-Traffic Communications

NIGMATULINA Iuliia, ZULUAGA-GOMEZ Juan, PRASAD Amrutha, SARFJOO Saeed and MOTLÍČEK Petr. A Two-Step Approach to Leverage Contextual Data: Speech Recognition in Air-Traffic Communications. In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Singapore: IEEE Signal Processing Society, 2022, pp. 6282-6286. ISBN 978-1-6654-0540-9. Available from: https://ieeexplore.ieee.org/document/9746563
Czech title
Dvoustupňový přístup pro využité kontextuálních dat: rozpoznávání řeči v letectví
Type
conference paper
Language
english
Authors
Nigmatulina Iuliia (IDIAP)
Zuluaga-Gomez Juan (IDIAP)
Prasad Amrutha (DCGM FIT BUT)
Sarfjoo Saeed (IDIAP)
Motlíček Petr, Ing., Ph.D. (IDIAP)
URL
Keywords

automatic speech recognition, human-computer interaction, Air-Traffic Control, Air-Surveillance Data, Callsign Detection, finite-state transducers

Published
2022
Pages
6282-6286
Proceedings
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Conference
2022 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), Singapore, SG
ISBN
978-1-6654-0540-9
Publisher
IEEE Signal Processing Society
Place
Singapore, SG
DOI
10.1109/ICASSP43922.2022.9746563
UT WoS
000864187906114
EID Scopus
2-s2.0-85128558160
BibTeX 
@INPROCEEDINGS{FITPUB12790,
   author = "Iuliia Nigmatulina and Juan Zuluaga-Gomez and Amrutha Prasad and Saeed Sarfjoo and Petr Motl\'{i}\v{c}ek",
   title = "A Two-Step Approach to Leverage Contextual Data: Speech Recognition in Air-Traffic Communications",
   pages = "6282--6286",
   booktitle = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
   year = 2022,
   location = "Singapore, SG",
   publisher = "IEEE Signal Processing Society",
   ISBN = "978-1-6654-0540-9",
   doi = "10.1109/ICASSP43922.2022.9746563",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/12790"
}
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