Enhancing Command Recognition in Air Traffic Control Through Advanced Classification Techniques

[1] Miller C. U.S. Programme for Development of Satellite Services for Air Traffic Control. J Navig. 1990;43(1):26–31. http://doi.org/10.1017/S0373463300013783 Miller C. U.S. Programme for Development of Satellite Services for Air Traffic Control . J Navig . 1990 ; 43 ( 1 ): 26 – 31 . http://doi.org/10.1017/S0373463300013783 Search in Google Scholar

[2] Newbery RR. Integration of advanced displays, FMS, speech recognition and data link. J Navig. 1985;38(3):463–466. http://doi.org/10.1017/S037346330003287 Newbery RR. Integration of advanced displays, FMS, speech recognition and data link . J Navig . 1985 ; 38 ( 3 ): 463 – 466 . http://doi.org/10.1017/S037346330003287 Search in Google Scholar

[3] Ness M, Herbert M. A route planning and driver information system for PLEIADES. J Navig. 1994;47(2):159–164. http://doi.org/10.1017/S0373463300012078 Ness M Herbert M. A route planning and driver information system for PLEIADES . J Navig . 1994 ; 47 ( 2 ): 159 – 164 . http://doi.org/10.1017/S0373463300012078 Search in Google Scholar

[4] Helmke H, Klakow D, Motlicek P, Srinivasamurthy A, Szaszak G, Oualil Y. A context-aware speech recognition and understanding system for air traffic control domain. 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU). http://doi.org/10.1109/ASRU.2017.8268964 Helmke H Klakow D Motlicek P Srinivasamurthy A Szaszak G Oualil Y. A context-aware speech recognition and understanding system for air traffic control domain . 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) . http://doi.org/10.1109/ASRU.2017.8268964 Search in Google Scholar

[5] Chen S, Chong SR, Kopald H, Levonian Z, Wei Y. Read back error detection using automatic speech recognition. Twelfth USA/Europe Air Traffic Management Research and Development Seminar (ATM2017). http://doi.org/10.21437/Interspeech.2019-1962. Available from: http://atmseminar.org/seminarContent/seminar12/papers/12th_ATM_RD_Seminar_paper_20.pdf Chen S Chong SR Kopald H Levonian Z Wei Y. Read back error detection using automatic speech recognition . Twelfth USA/Europe Air Traffic Management Research and Development Seminar (ATM2017) . http://doi.org/10.21437/Interspeech.2019-1962 . Available from: http://atmseminar.org/seminarContent/seminar12/papers/12th_ATM_RD_Seminar_paper_20.pdf Search in Google Scholar

[6] Cerna A, Ehr H, Kleinert M, Helmke H, Kern C, Klakow D, et al. Semi-supervised adaptation of assistant based speech recognition models for different approach areas. 2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC). http://doi.org/10.1109/DASC40568.2018. Available from: https://ieeexplore.ieee.org/document/8569879 Cerna A Ehr H Kleinert M Helmke H Kern C Klakow D Semi-supervised adaptation of assistant based speech recognition models for different approach areas . 2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC) . http://doi.org/10.1109/DASC40568.2018 . Available from: https://ieeexplore.ieee.org/document/8569879 Search in Google Scholar

[7] Lin Y. Spoken instruction understanding in air traffic control: challenge, technique, and application. Aerospace. 2021. http://doi.org/10.3390/aerospace8030065 Available from: https://www.mdpi.com/journal/aerospace. Lin Y. Spoken instruction understanding in air traffic control: challenge, technique, and application . Aerospace . 2021 . http://doi.org/10.3390/aerospace8030065 Available from: https://www.mdpi.com/journal/aerospace . Search in Google Scholar

[8] Helmke H, Klakow D, Schmidt A, Schulder M, Oualil Y. Real-time integration of dynamic context information for improving automatic speech recognition. INTERSPEECH 2015. Available from: https://isca-speech.org/archive/interspeech_2015/papers/i15_2107.pdf Helmke H Klakow D Schmidt A Schulder M Oualil Y. Real-time integration of dynamic context information for improving automatic speech recognition . INTERSPEECH 2015 . Available from: https://isca-speech.org/archive/interspeech_2015/papers/i15_2107.pdf Search in Google Scholar

[9] Holone H, Nguyen V. Possibilities, challenges, and the state of the art of automatic speech recognition in air traffic control. World Acad Sci Eng Technol Int J Comput Inf Eng. 2015;9(8). http://doi.org/10.5281/zenodo.1108428 Holone H Nguyen V. Possibilities, challenges, and the state of the art of automatic speech recognition in air traffic control . World Acad Sci Eng Technol Int J Comput Inf Eng . 2015 ; 9 ( 8 ). http://doi.org/10.5281/zenodo.1108428 Search in Google Scholar

[10] Bakr M. A linguistic approach to marine communication. J Navig. 1979;32(2):171–179. http://doi.org/10.1017/S0373463300037887 Bakr M. A linguistic approach to marine communication . J Navig . 1979 ; 32 ( 2 ): 171 – 179 . http://doi.org/10.1017/S0373463300037887 Search in Google Scholar

[11] Narayanan S, Balasundaram SR. Error detection using syntactic analysis for air traffic speech. Proceedings of the Second International Conference on Computing, Communications, and Cyber-Security. Lecture Notes in Networks and Systems, vol 203. 2021. Narayanan S Balasundaram SR. Error detection using syntactic analysis for air traffic speech. Proceedings of the Second International Conference on Computing, Communications, and Cyber-Security . Lecture Notes in Networks and Systems , vol 203 . 2021 . Search in Google Scholar

[12] Delpech E, Lancelot F, Farinas J, Pellegrini T. The Airbus air traffic control speech recognition 2018 challenge: towards ATC automatic transcription and call sign detection. InterSpeech 2019. http://doi.org/10.21437/Interspeech.2019-1962 Delpech E Lancelot F Farinas J Pellegrini T. The Airbus air traffic control speech recognition 2018 challenge: towards ATC automatic transcription and call sign detection . InterSpeech 2019 . http://doi.org/10.21437/Interspeech.2019-1962 Search in Google Scholar

[13] Lamere P, Kwok P, Gouvêa E, Raj B, Singh R, Walker W, Warmuth MK, Wolf P. The CMU SPHINX-4 speech recognition system. 2001. Lamere P Kwok P Gouvêa E Raj B Singh R Walker W Warmuth MK Wolf P. The CMU SPHINX-4 speech recognition system . 2001 . Search in Google Scholar

[14] Hofbauer K, Petrik S, Hering H. The ATCOSIM corpus of non-prompted clean air traffic control speech. 2008. Available from: http://www.lrec-conf.org/lrec2008/ Hofbauer K Petrik S Hering H. The ATCOSIM corpus of non-prompted clean air traffic control speech . 2008 . Available from: http://www.lrec-conf.org/lrec2008/ Search in Google Scholar

[15] Helmke H, Himawan I, Motlicek P, Oualil Y, Srinivasamurthy A, Szaszák G. Semi-supervised learning with semantic knowledge extraction for improved speech recognition in air traffic control. INTERSPEECH 2017. http://doi.org/10.21437/Interspeech.2017-1446 Helmke H Himawan I Motlicek P Oualil Y Srinivasamurthy A Szaszák G. Semi-supervised learning with semantic knowledge extraction for improved speech recognition in air traffic control . INTERSPEECH 2017 . http://doi.org/10.21437/Interspeech.2017-1446 Search in Google Scholar