Far-field sound source localization system and method

Abstract

The present invention provides a far field sound source positioning system and method. The system comprises a microphone array comprising at least two microphones, wherein the microphones are used to acquire the sound information of a sound source respectively; a space diversity positioning unit used for establishing a space coordinates system, dividing the space into a plurality of subsets according to the positions of the microphones, and determining the subset in which the sound source is located according to the sound information; a virtual phase positioning unit used for carrying out the virtual phase positioning on each pair of microphones separately, wherein the virtual phase positioning comprises carrying out the virtual phase migration on the two sound information acquired by the pair of microphones to obtain an amplification phase difference, determining a real phase difference according to a corresponding inverse function, and determining an incident angle of the sound source relative to the pair of microphones according to the real phase difference; a statistics positioning unit used for carrying out the statistics analysis on the incident angles and determining the angle information of the sound source relative to the system. According to the present invention, by the small-size microphone array, the angle of a far field sound source is positioned accurately.

Description

technical field [0001] The present application relates to the technical field of far-field sound source localization, and in particular to a far-field sound source localization system and method. Background technique [0002] Time Difference of Arrival (TDOA for short) localization technology is the most mainstream sound source localization technology at present. Through geometric modeling, the far-field sound source information is picked up by the microphone. The relative delay is calculated by the cross-correlation algorithm, and then the sound source angle is estimated by the delay and the array distance. [0003] Traditional microphone arrays implement positioning through TDOA, and usually have certain requirements on the size of the array. The reason is that if the size of the microphone array is too small, that is, the distance between the microphones is too close, the sound signals from the far-field sound source to each microphone will be too similar, and it is diff...

AI Technical Summary

Problems solved by technology

The reason is that if the size of the microphone array is too small, that is, the distance between the microphones is too close, the sound signals from the far-field sound source to each microphone will be too similar, and it is difficult to calculate the distance between the sound source and the microphone array from the far-field through the cross-correlation algorithm. The time difference is the delay. At the same time, too small array size will cause a large error, and it is difficult to accurately calculate the angle of the sound source relative to the microphone array

Ultimately, the accuracy of angular positioning of far-field sound sources is greatly reduced

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