Microphone array method for sound source localization

Abstract

A microphone array method for sound source localization comprises steps of setting spatial distribution positions of seven microphones in a seven-element stereoscopic microphone array: s0 (0, 0, 0), s1 (d, 0, d), s2 (-d, 0, d), s3 (0, d, -d),s4 (0, -d, -d), s5 (0, 0, d), s6 (0, 0, -d), wherein, s0 is the microphone at the origin, s1-s6 are 6 microphones distributed at other positions rather than the origin, and d is the distance from s1- s6 to the coordinate axis; establishing a mathematical model for the microphone array according to the spatial distribution positions of the seven microphones; solving the mathematical model and determining the location of the sound source. The microphone array method for sound source localization can effectively improve the ranging performance on the basis of keeping the array size and the number of microphones unchanged and not sacrificing the positioning performances of the pitch angle and the direction angle. The array formation has a better good effect on the positioning of the pitch angle and the direction angle, so as to effectively improve the accuracy of distance positioning while keeping the advantages of high positioning accuracy at thepitch angle and the direction angle in the spatial cross stereoscopic array.

Description

technical field [0001] The invention relates to a microphone array. In particular it relates to a microphone array method for sound source localization. Background technique [0002] In the TDOA-based sound source localization algorithm, the localization accuracy is mainly affected by factors such as the arrangement of the microphone array and the number of microphones. In the past research, the common microphone array method arrays applied to sound source localization mainly include: planar four-element array, planar five-element array in the planar array, and three-dimensional five-element array and six-element regular quadrilateral array in the non-planar array. Cone array, and seven-element space intersection array, etc. The three-dimensional five-element array, six-element positive quadrilateral pyramidal array, and seven-element spatial cross array models only have numerical simulations for comparison with the planar quaternary array or planar five-element array, and...

AI Technical Summary

Problems solved by technology

The three-dimensional five-element array, six-element positive quadrilateral pyramidal array, and seven-element spatial cross array models only have numerical simulations compared with planar quaternary arrays or planar five-element arrays, and it is impossible to comprehensively consider the accuracy and robustness of the positioning performance of several models

Moreover, its positioning accuracy is greatly affected by the environment, and its positioning performance needs to be improved

On the one hand, the larger the number of microphones, the higher the positioning accuracy and the better the system performance. However, if the number of microphones is too large, the volume of the array will be increased to a certain extent, which will increase the difficulty of system implementation and make the positioning algorithm complicated. It leads to high computational complexity and affects the real-time performance of positioning.

Images