A Context-Aware Language Model to Improve the Speech Recognition in Air Traffic Control

A Context-Aware Language Model to Improve the Speech Recognition in Air Traffic Control

Recognizing isolated digits of the flight callsign is an important and challenging task for automatic speech recognition (ASR) in air traffic control (ATC). Fortunately, the flight callsign is a kind of prior ATC knowledge and is available from dynamic contextual information. In this work, we attemp...

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Bibliographic Details
Main Authors: Dongyue Guo, Zichen Zhang, Peng Fan, Jianwei Zhang, Bo Yang
Format: article
Language:EN
Published: MDPI AG 2021
Subjects:
language model
automatic speech recognition
air traffic control
dynamic contextual information
Motor vehicles. Aeronautics. Astronautics
TL1-4050
Online Access:https://doaj.org/article/d5c3f6acd8874e9bb51a0fe02f3ccc33
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Internet

https://doaj.org/article/d5c3f6acd8874e9bb51a0fe02f3ccc33

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