Sound positioning method and device based on double microphones

Abstract

The invention discloses a sound positioning method and device based on double microphones. The two microphones are placed on wall edges on two sides and are parallel to a wall surface, and the collection directions of the microphones are opposite to a wall body. The method comprises the following steps: acquiring sound data of the two microphones when no one makes a sound, wherein the captured sound data is noise or background sound; calculating the volume of the noise or the background sound and recording the volume as the minimum volume value; setting a threshold value greater than the minimum volume value as a judgment basis of sound; recording and acquiring the starting time and the ending time when the two microphones receive the sound greater than the threshold value; calculating the time difference of arrival of the two microphones corresponding to the same sound; and calculating the distance difference between the two microphones , constructing a sound source position hyperbolic function based on the distance difference, and calculating the orientation of the sound source based on the time difference of arrival after curve quadrants where the sound source is located are determined successively according to sound receiving starting time. According to the invention, the sound positioning problem is converted into sound-existence and sound-absence binary judgment, and the detection distance is increased.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a method and device for sound localization based on dual microphones. Background technique [0002] Sound source localization and sound recognition have been widely used in real life. There are many technologies for sound source localization, each with its own characteristics. For example, the microphone array used in TV can recognize speech within 5 meters. The algorithms used in different technologies and different application scenarios are also different. For example, there are autocorrelation functions developed to calculate the microphone time difference, and there are also speech recognition algorithms based on deep learning. [0003] The above sound positioning and recognition technologies are general-purpose processing methods. Since they are aimed at various application places, there are relatively large requirements for hardware architecture and processin...

AI Technical Summary

Problems solved by technology

[0003] The above sound positioning and recognition technologies are general-purpose processing methods. Since they are aimed at various application places, there are relatively large requirements for hardware architecture and processing algorithms, and the implementation is relatively complicated, and the recognition range has a large range. limitation

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