Impact of Microphone Array Configurations on Robust Indirect 3d Acoustic Source Localization

Elizabeth Vargas, Keith Brown, Kartic Subr

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Acoustic source localization (ASL) is an important problem. Despite much attention over the past few decades, rapid and robust ASL still remains elusive. A popular approach is to use a circular array of microphones to record the acoustic signal followed by some form of optimization to deduce the most likely location of the source. In this paper, we study the impact of the configuration of microphones on the accuracy of localization. We perform experiments using simulation as well as real measurements using a 72-microphone acoustic camera which confirm that circular configurations lead to higher localization error than spiral and wheel configurations when considering large regions of space. Moreover, the configuration of choice is intricately tied to the optimization scheme. We show that direct optimization of well known formulations for ASL yield errors similar to the state of the art (steered response power) with 6 × less computation.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
PublisherIEEE
Pages3221-3225
Number of pages5
ISBN (Electronic)9781538646588
DOIs
Publication statusPublished - 13 Sep 2018

Publication series

NameInternational Conference on Acoustics, Speech and Signal Processing
PublisherIEEE
ISSN (Electronic)2379-190X

Keywords

  • 3D acoustic source localization
  • Microphone array configuration

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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  • Cite this

    Vargas, E., Brown, K., & Subr, K. (2018). Impact of Microphone Array Configurations on Robust Indirect 3d Acoustic Source Localization. In 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (pp. 3221-3225). (International Conference on Acoustics, Speech and Signal Processing). IEEE. https://doi.org/10.1109/ICASSP.2018.8461786