Sound source localization: microphone array design and evolutionary estimation

N. M. Kwok*, J. Buchholz, G. Fang, J. Gal

*Corresponding author for this work

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

10 Citations (Scopus)


The use of speech in human-robot interaction is an indispensable feature from the points of view of both the human and the robot. In order to realize such capability, sound source localization becomes a mandatory or a pre-requisite requirement. This paper describes the localization of a speaker by using a microphone array. Time delay of arrival (TDOA) based technique is employed to obtain the angular direction of the sound source relative to the array. Geometric array construction that facilitates sound source localization is taken into consideration. Since sound reception is corrupted by noise, an evolutionary computation method (genetic algorithms) is also used to provide an improved estimation of the sound source location. A simplification of the genetic algorithms implementation is carried out, such that the complexity of the calculation is reduced and makes the estimator practically tractable. By using the proposed method, the need for an accurate measurement model and a speaker motion model is removed and thus the estimation robustness is increased. Simulations are included to demonstrate the effectiveness of the proposed technique.

Original languageEnglish
Title of host publicationProceedings of the 2005 IEEE International Conference on Industrial Technology
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (Print)0780394844, 9780780394841
Publication statusPublished - 2005
Externally publishedYes
Event2005 IEEE International Conference on Industrial Technology, ICIT 2005 - Hong Kong, Hong Kong
Duration: 14 Dec 200517 Dec 2005


Other2005 IEEE International Conference on Industrial Technology, ICIT 2005
Country/TerritoryHong Kong
CityHong Kong


  • Genetic algorithms
  • Microphone array
  • Sound localization


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