Real time humanoid sound source localization and tracking in a highly reverberant environment

Muhammad Usman, Fakheredine Keyrouz, Klaus Diepold

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication2008 9th International Conference on Signal Processing, ICSP 2008
Pages2661-2664
Number of pages4
DOIs
StatePublished - 2008
Event2008 9th International Conference on Signal Processing, ICSP 2008 - Beijing, China
Duration: 26 Oct 200829 Oct 2008

Publication series

NameInternational Conference on Signal Processing Proceedings, ICSP

Conference

Conference2008 9th International Conference on Signal Processing, ICSP 2008
Country/TerritoryChina
CityBeijing
Period26/10/0829/10/08

Keywords

  • Extended kalman filtering
  • Front-back ambiguity
  • HRTF
  • Humanoid sound localization

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