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Author(s): |
Chao Wang, College of Air Traffic Management, CAUC, Tianjin 300300, China
Chunxia Qi, College of Air Traffic Management, CAUC, Tianjin 300300, China
Jing Ge, College of Air Traffic Management, CAUC, Tianjin 300300, China
Jianjun Liu, College of Air Traffic Management, CAUC, Tianjin 300300, China |
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Abstract: |
The current air traffic control training is inefficient and costly. To solve this problem, speech recognition and synthesis technology was introduced into the controller position by adopting the Microsoft Speech SDK (SAPI) as the voice development platform. On this basis, a set of mechanisms was designed to deal with the results of the speech recognition, checking the correctness of the speech recognition results of control orders through the judgment of the instruction format, and furthermore, doing self-repair work when the results were proved wrong. It succeeded in developing an intelligent simulation system of air traffic control that combined voice-controlled flight state, voice query for flight information, automatic voice report and voice warning. Experiment proves that the system is stable, and can effectively improve the efficiency while reducing the costs.
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