Voice recognition method and voice recognition device in air traffic control system

Abstract

The invention provides a voice recognition method and a voice recognition device in an air traffic control system. The method comprises the following steps: collecting ground-to-air dialogue voice information from a ground-to-air voice communication link; collecting a PTT signal, segmenting the ground-to-air dialogue voice information according to the PTT signal to generate air traffic controller voice information and driver voice information in an aircraft; and carrying out voice recognition on the air traffic controller voice information and the driver voice information in the aircraft according to a preset air traffic control ground-to-air dialogue grammatical rule bank and a preset air traffic control ground-to-air dialogue keyword bank respectively, and outputting recognition results in corresponding texts. Through using a voice rule and keyword recognition method, the invention still provides accurate voice recognition service in the air traffic control system with high application complexity so as to further improve automation level of air traffic control and navigation safety and reliability in China, and the voice recognition device also can be applied to various complex application scenes in the aviation field.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of aviation communication, and in particular to a voice recognition method and a voice recognition device in an air traffic control system. Background technique [0002] With the continuous development of the aviation industry, the number of aircraft flying in the air has increased significantly. The air traffic control system is used to control the air traffic order, which gradually occupies an increasingly important position in the aviation industry and has developed rapidly. . The air traffic control system, referred to as the air traffic control system, is a system that manages the take-off, landing and navigation of multiple aircraft to ensure flight order and safety. In the air traffic control system, the role of the controller is particularly important. Many important decisions in aircraft navigation are made by the controller based on the content of the dialogue between him...

AI Technical Summary

Problems solved by technology

[0004] There are some speech recognition systems dedicated to air traffic control in the prior art, but generally there are defects that the accuracy rate is low and cannot be truly applied to actual operations. Specifically, the current global speech recognition products have a full-text recognition rate of air-ground dialogues at 20%. % or less, it cannot meet the application requirements of air traffic control automation and other systems

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