Automatic Speech Recognition for Air Traffic Control Communications
نویسندگان
چکیده
A significant fraction of communications between air traffic controllers and pilots is through speech, via radio channels. Automatic transcription control (ATC) has the potential to improve system safety, operational performance, conformance monitoring, enhance controller training. We present an automatic speech recognition model tailored ATC domain that can transcribe voice text. The transcribed text used extract information such as call-sign runway number. models are based on recent improvements in machine learning techniques for natural language processing. evaluate performance diverse datasets.
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ژورنال
عنوان ژورنال: Transportation Research Record
سال: 2021
ISSN: ['2169-4052', '0361-1981']
DOI: https://doi.org/10.1177/03611981211036359