Kapak Resmi

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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Materyal Türü: Online
Dil:İngilizce
Baskı/Yayın Bilgisi: MDPI - Multidisciplinary Digital Publishing Institute 2024
Konular:
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
Online Erişim:ONIX_20240514_9783725803163_258
Etiketler: Etiketle
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Özet: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 flight level one two zero”. Automatic Speech Understanding extracts the meaning from this word sequence, e.g., that the aircraft with the callsign “BAW416” should “DESCEND” to roughly “twelve thousand feet”. The Special Issue contains 12 articles authored by 54 different authors, working for 23 institutions that are located in 13 countries on four continents. These articles discuss (a) ontologies for modeling words and semantics, (b) the extraction of aircraft callsigns and complex commands, (c) ASRU support for ATCos through callsign highlighting, the filling of aircraft radar labels and flight strips for approach, tower, and apron environments, (d) supporting simulation pilots, (e) speech activity detection, speaker role classification, natural language processing, English language identification, (f) combining ASRU with surveillance data, (g) joining speech and gaze data, and (h) a safety assessment.

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