Non-air conduction speech reinforcement method based on multi-band spectrum subtraction

Abstract

The present invention discloses a non-air conduction speech enhancement method based on a multi-band spectral subtraction. Because of the noise in the radar-based non-air conduction speech is always colored and no uniform influence on the speech signals within the whole range of the frequency spectrum, the method divides the speech frequency spectrum in a targeted manner into five sections without overlapping; simultaneously, each section is provided with an individual spectral subtraction coefficient, so as to achieve the effectiveness and pertinence of the algorithm. The embodiment proves the non-air conduction speech enhancement method can effectively compensate the weakness of low pertinence in the traditional speech enhancement method; moreover, the method has the advantages of highly efficient implementation, simple algorithm and obvious effect. Therefore, the method has higher practical value and application prospects.

Description

technical field [0001] The invention belongs to the technical field of voice signal detection and collection and voice enhancement, in particular to a non-air conduction voice enhancement method based on multi-band spectrum subtraction. Background technique [0002] Due to the essential difference in the detection principles and methods, the non-air conduction detection technology of voice essentially breaks through the fixed mode and limitations of traditional air conduction voice, and is also an effective supplement to the singleness of traditional detection methods. The non-air conduction voice detection technology can not only overcome the shortcomings and deficiencies of various voice detection modes (it enables people to get rid of the limitation that microphones must be placed near the sound source to detect voices at a longer distance, has strong anti-acoustic interference ability, and overcomes the Laser, infrared, ultrasonic and other detection technologies are vul...

AI Technical Summary

Problems solved by technology

Such as head movement, gestures, lip movement, heartbeat, breathing, etc. when speaking; (b) the harmonics of radar waves, channel noise and additional noise of the voice detection system hardware itself; (c) interference from external environmental noise, The components of these noise signals are complex, the amplitude is stronger, and most of them are aliased with the spectrum of the speech signal, which seriously affects the quality of the speech signal.

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