SOUND SOURCE LOCALIZATION OF DIGITAL HEARING AIDS USING WAVELET BASED MULTIVARIATE STATISTICAL METHOD  

作　　者：Liang Ruiyu Zou Cairog Wang Qingyu Xi Ji 

机构地区：[1]School of Information Science and Engineering, Southeast University, Nanjing 210096, China [2]College of Computer and Information, Hohai University, Changzhou 213022, China [3]School of Communication Engineering, Nanjing Institute of Technology, Nanjing 211167, China

出　　处：《Journal of Electronics(China)》2010年第4期571-576,共6页电子科学学刊（英文版）

基　　金：Supported by the National Natural Science Foundation of China (No. 60472058, No. 60975017);Jiangsu Provincial Natural Science Foundation (No. BK2008291)

摘　　要：The letter proposed a sound source localization method of digital hearing aids using wavelet based multivariate statistics with the Generalized Cross Correlation (GCC) algorithm. Haar wavelet is used to decompose GCC sequences and extract four wavelet characteristics. And then, Hotelling T2 statistical method is used to fuse the four wavelet characteristics. The statistical value is used to judge the number of sound sources and obtain corresponding time delay estimation which is used to localize the position of sound source. The experimental results show that the proposed method has better robustness in an environment with severe noise and reverberation. Meanwhile, the complexity of al-gorithm is moderate, which is available for sound source localization of hearing aids.The letter proposed a sound source localization method of digital hearing aids using wavelet based multivariate statistics with the Generalized Cross Correlation （GCC） algorithm. Haar wavelet is used to decompose GCC sequences and extract four wavelet characteristics. And then, Hotelling T2 statistical method is used to fuse the four wavelet characteristics. The statistical value is used to judge the number of sound sources and obtain corresponding time delay estimation which is used to localize the position of sound source. The experimental results show that the proposed method has better robustness in an environment with severe noise and reverberation. Meanwhile, the complexity of al-gorithm is moderate, which is available for sound source localization of hearing aids.

关 键 词：Sound source localization Wavelet decomposition Hotelling T2 statistical model Digital hearing aids 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]