ISBN: 978-981-18-3959-7 DOI: 10.18178/wcse.2022.06.012
Construction and Analysis of Air Traffic Controller Fatigue Voice Database
Abstract— With the rapid increase in civil aviation traffic, the workload of air traffic controllers has also increased. In addition, the characteristics of irregular day and night duty of controllers make controllers more prone to fatigue in the process of duty, thus causing aviation safety hazards and reducing air operation efficiency. Emotional voice recognition is considered to be a non-intrusive fatigue detection method that is more suitable for controllers in daily command than video and eye tracker, etc. In this paper, the first fatigue voice database is constructed based on air-ground communication of controllers. Firstly, the voice data of air-ground communication of controllers are cut and preprocessed, and the traditional voice features are extracted. Then, according to the five specific characteristics of "age group", "gender", "control years", "license level" and "control position", the 700,000 controlled voices in East China are classified. The fatigued speech database for different controllers is constructed by sample library marking by experts. The large database of controller fatigue established in this paper can provide effective data support for experts and scholars to detect fatigue voice and verify corresponding algorithms. By detecting and identifying the fatigue state of controllers, the scheduling plan and training program of controllers can be further optimized, the errors of controllers can be reduced, and the occurrence of air traffic control unsafe incidents can be prevented.
Index Terms— air traffic controllers, fatigue, speech, database
Xiaojun Adu, Shiyu Huang, Xiao Huang, Jin Yang, Yuting Chen, Zetian Zhang, Zhiyuan Shen
College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, CHINA
Cite: Xiaojun Adu, Shiyu Huang, Xiao Huang, Jin Yang, Yuting Chen, Zetian Zhang, Zhiyuan Shen, "Construction and Analysis of Air Traffic Controller Fatigue Voice Database, " Proceedings of 2022 the 12th International Workshop on Computer Science and Engineering (WCSE 2022), pp. 72-79, June 24-27, 2022.