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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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Uloženo v:
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
Tagy: Přidat tag
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ONIX_20240514_9783725803163_258

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