Automatic Speech Recognition and Understanding in Air Traffic Management

Automatic Speech Recognition and Understanding (ASRU) has the potential to reduce air traffic controllers’ (ATCos) workload and to enhance air traffic management (ATM) safety. Automatic Speech Recognition (ASR) transforms voice signals into a sequence of words, e.g., “speed bird four one six descend...

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Médium:	Online
Jazyk:	angličtina
Vydáno:	MDPI - Multidisciplinary Digital Publishing Institute 2024
Témata:	speech recognition human–computer interaction situational awareness air traffic management air traffic controller flight callsign ASR VRS air traffic controller training simulation-pilot agent BERT automatic speech recognition and understanding speech synthesis automatic speech recognition natural language understanding semantic interpretation air traffic control radio communications intent representation semantic ontology performance metrics automatic speech understanding radar label human factors assistant system human-in-the-loop simulation multiple remote tower assistant-based speech recognition electronic flight strips simulation pilot workload apron control STARFiSH voice-driven control acoustic model grammar network syntax analysis semantic analysis unmanned aerial vehicle (UAV) UAV control speaker clustering speaker role detection air traffic control communications OpenSky Network callsign recognition ADS-B data safety assessment en-route sector approach sector fatigue recognition feature fusion multi-mode ATC HMM DNN RNN WER VHF ADS-B METAR GMTT speech corpus deep speech call sign detection levenshtein distance fuzzy string matching thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBF Social and ethical issues
On-line přístup:	ONIX_20240514_9783725803163_258
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Automatic Speech Recognition and Understanding in Air Traffic Management

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