【Title】Auditory filter based broadband MUSIC algorithm for sound source localization

【Author】 LIAO Fengchai;LI Peng;LIU Wenju;Department of Math and Computer Science,Sanming University Sanming;Digital Content Technique and Service Research Center,Institute of Automation, Chinese Academy of Sciences;National Key Laboratory of Pattern Recognition,Institute of Automation, Chinese Academy of Sciences;

【Abstract】Based on the analysis of the shortcomings of broadband MUSIC algorithm with short-time Fourier transform(SF-MUSIC) for sound source localization,a broadband MUSIC algorithm with auditory filter(AF-MUSIC) was proposed.The proposed algorithm first employs auditory filter bank to decompose the signals received on the microphone array,and then locates the sound source with MUSIC algorithm over every frequency channel.At last,by combining with the subinterval frequency estimation,the final localization result is gained.Evaluations on the proposed algorithm prove that comparing with the SF-MUSIC algorithm,the AF-MUSIC algorithm decreases the average error of the estimation results with 2.5479 degree in different source conditions.The accuracy of sound source DOA estimation is enhanced effectively.