A Method for Realizing Array Microphone Beamforming

Abstract

The present invention provides a method for realizing array microphone beamforming, which is characterized in that it comprises the following steps: 1) divide the sound range to be processed into high-frequency part a-b and low-frequency part b-c; 2) select a proportional constant R, such that c×R m =b,b×R n = a; 3) with [b×R 0 ],[b×R 1 ],[b×R 2 ],...,[b×R n ] are the center frequencies respectively, and calculate the binary array aperture corresponding to each center frequency; 4) decompose each array element of the array microphone into subband signals, and directly add the n+1 subbands of the high frequency part according to the binary array elements , the m subbands in the low frequency part are weighted and added according to n+2 array elements; 5) All the subbands in step 4) are smoothly synthesized according to the Hamming window, and the spatial response in the a-c frequency range is obtained. The method for implementing array microphone beamforming of the present invention restores broadband signals by using array microphone aperture superposition and adaptive beamforming methods, can use fewer microphone units and a smaller array size, and has good voice restoration quality.

Description

technical field [0001] The invention belongs to the technical field of voice signal processing, and in particular relates to a method for realizing array microphone beamforming. Background technique [0002] In live conference scenarios, the single-channel noise reduction method of dividing subbands, denoising subbands, and combining subbands with spectral subtraction has been widely used, but this method only suppresses the spectral components affected by noise, resulting in Distortion of the processed speech signal reduces speech quality and intelligibility. After learning from the application of arrays such as radars and antennas, people have designed array microphones with directivity. Array microphones have many advantages, for example, they do not need gooseneck microphones, which makes them more beautiful, and they are directional, which helps to suppress the interference of noise in the venue, and suppress the howling that may occur between audio equipment and speak...

AI Technical Summary

Problems solved by technology

Although the frequency span of the sound signal is very large, it is difficult to achieve ideal consistency in the spatial response of the array microphone in the entire frequency band under the limited array size and number of array elements.

But we can’t simply think that using a fixed or adaptive beamforming algorithm can achieve a good effect of array microphone voice interaction. After all, what the human ear receives is not a cold level, but a lot of subjectivity

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