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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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2021-11-01
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| Col·lecció: | Aerospace |
| Matèries: | |
| Accés en línia: | https://www.mdpi.com/2226-4310/8/11/348 |
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