A high-precision feature extraction network of fatigue speech from air traffic controller radiotelephony based on improved deep learning

Air traffic controller (ATC) fatigue is receiving considerable attention in recent studies because it represents a major cause of air traffic incidences. Research has revealed that the presence of fatigue can be detected by analysing speech utterances. However, constructing a complete labelled fatig...

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Veröffentlicht in:	ICT express Jg. 7; H. 4; S. 403 - 413
Hauptverfasser:	Shen, Zhiyuan, Wei, Yitao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.12.2021 Elsevier 한국통신학회
Schlagworte:	Active learning Air traffic control Dense block Fatigue Spectrogram SSAE 전자/정보통신공학 Fatigue SSAE Air traffic control Dense block Active learning Spectrogram
ISSN:	2405-9595, 2405-9595
Online-Zugang:	Volltext
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