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

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.

关键词： Humanoid sound localization front-back ambiguity HRTF extended kalman filtering

作者: Muhammad Usman Fakheredine Keyrouz Klaus Diepold

作者单位: Munich University of Technology,80290,Munich,Germany

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）