Voice recognition method applied to ground-air communication

Abstract

The invention discloses a voice recognition method applied to ground-air communication. The voice recognition method comprises the steps: a ground-air communication triphone acoustic model is established; through an improved maximum posterior probability speech enhancement algorithm, a received to-be-recognized ground-air communication voice signal is subjected to speech enhancement and backgroundnoise removal processing; the processed to-be-recognized ground-air communication voice signal is input into the ground-air communication triphone acoustic model to be recognized, speech command textand keyword text of a controller and a pilot are recognized, and when it is recognized that the speech command text of the controller and the speech command text of the pilot are inconsistent, alarmreminding is conducted; and the recognized keyword text is detected through a keyword detection model, and when preset words are detected, alarm reminding is conducted. According to the voice recognition method, voice commands between the controller and the pilot can be recognized and compared, the sensitive words can further be detected, alarm reminding is conducted, and the voice recognition rate can be increased.

Description

technical field [0001] The invention relates to the field of ground-air communication, in particular to a voice recognition method applied to ground-air communication. Background technique [0002] Ground-to-air communication is mainly used for communication between controllers and pilots, and is the core part of ensuring aircraft flight safety. Due to the high work intensity of traffic control personnel and the need for high concentration, it is easy to misunderstand the voice heard in the harsh environment of the call, resulting in wrong traffic control orders, which greatly affects flight safety. The ground-to-air communication voice recognition technology can automatically identify the conversation between the controller and the pilot, monitor the behavior of the controller and the pilot, and warn the danger caused by the wrong command, which can greatly guarantee the flight safety. [0003] Although voice recognition technology for ground-air communication is one of th...

AI Technical Summary

Problems solved by technology

[0023] Although spectral subtraction and Wiener filtering are simple to implement, they will introduce too much "musical noise". Although the signal-to-noise ratio will be partially improved, the actual auditory effect is not obvious. When the signal-to-noise ratio is low, after spectral subtraction or The voice signal processed by the Wiener filter will have worse auditory effect

The MAP algorithm mainly obtains the gain function by calculating the prior SNR and the posterior SNR, and the prior SNR and the posterior SNR have the problem of overestimation, which causes the amplitude of the enhanced voice signal to change.

Images