Automatic Speech Recognition for Air Traffic Control Communications
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A3RAB3DVL" target="_blank" >RIV/00216208:11320/22:3RAB3DVL - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1177/03611981211036359" target="_blank" >https://doi.org/10.1177/03611981211036359</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1177/03611981211036359" target="_blank" >10.1177/03611981211036359</a>
Alternative languages
Result language
angličtina
Original language name
Automatic Speech Recognition for Air Traffic Control Communications
Original language description
A significant fraction of communications between air traffic controllers and pilots is through speech, via radio channels. Automatic transcription of air traffic control (ATC) communications has the potential to improve system safety, operational performance, and conformance monitoring, and to enhance air traffic controller training. We present an automatic speech recognition model tailored to the ATC domain that can transcribe ATC voice to text. The transcribed text is used to extract operational information such as call-sign and runway number. The models are based on recent improvements in machine learning techniques for speech recognition and natural language processing. We evaluate the performance of the model on diverse datasets.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Transportation Research Record
ISSN
0361-1981
e-ISSN
2169-4052
Volume of the periodical
2676
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
13
Pages from-to
798-810
UT code for WoS article
000688517000001
EID of the result in the Scopus database
2-s2.0-85123781435