The delay-and-sum beamforming technique uses multiple microphones to localize sound sources. One disadvantage of this technique is that adjustments of the position or of the number of microphones change the quality nonlinearly. Additionally, due to the number of combinations possible, it is computationally hard to find the best configuration. This paper uses genetic algorithms to solve this problem. The algorithm searches for the microphone array configuration that provides the highest directivity for each steered orientation. The experiments showed that the genetic algorithm could find the best solution of a constrained search space comprising 33 554 431 solutions in a matter of seconds instead of days. Furthermore, this paper presents the used techniques to reduce the time of evolution, provides a web application and the source code of the implementation.
Original languageEnglish
Publication statusUnpublished - 18 Sep 2018
Event4th international conference on cloud computing technologies and applications : Cloudtech - Vrije universiteit Brussel, Brussels, Belgium
Duration: 26 Nov 201828 Nov 2018

Conference

Conference4th international conference on cloud computing technologies and applications
Abbreviated titleCloudtech
CountryBelgium
CityBrussels
Period26/11/1828/11/18

    Research areas

  • beamforming, genetic algorithm, sound-source localization

ID: 44424191