A Software and Application of Aviation Speech Recognition System Based on Artificial Intelligence

With the rapid development of the civil aviation industry and the increase in air traffic flow, the demand for control personnel has also sharply increased. The land air communication is the most important communication tool between controllers and pilots, and its accuracy directly affects air traffic safety. With the rapid development of information technologies such as big data and cloud computing, this article adopts an artificial intelligence deep learning engine as the core to implement an aviation speech recognition system software, it can not only display the actual situation of seats, allowing control personnel to quickly understand current information, but also recognize Chinese and English air traffic control speech and convert it into text for display, thus achieving various applications in the field of air traffic control. The system software interface is simple and easy to operate, with complete functions, making control work intelligent, reducing the workload of controllers, reducing the understanding deviation and operational errors of air traffic control commands, and safeguarding the flight safety of the aircraft.