REAL TIME HUMANOID SOUND SOURCE LOCALIZATION AND TRACKING IN A HIGHLY REVERBERANT ENVIRONMENT

被引：0

作者：

Usman, Muhammad ^{[1
]}

Keyrouz, Fakheredine ^{[1
]}

Diepold, Klaus ^{[1
]}

机构：

[1] Tech Univ Munich, D-80290 Munich, Germany

来源：

ICSP: 2008 9TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, VOLS 1-5, PROCEEDINGS | 2008年

关键词：

Humanoid sound localization; front-back ambiguity; HRTF; extended kalman filtering;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

An algorithm for real time humanoid sound localization and tracking using only two microphones in a highly reverberant environment is proposed. Several recently developed 3D humanoid sound localization algorithms require the environment to be anechoic. Also, the resolution of front-back ambiguity problem during sound localization requires the knowledge about the reference signals. Using HRTF based sound localization together with extended kalman filtering, we are able to accurately track moving sound sources in real time in a highly reverberant environment. This algorithm uses only two microphones and requires no prior knowledge of the reference signals.

引用

页码：2658 / 2661

页数：4

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