Experimental performance analysis of sound source detection with SRP PHAT-β

Anand Ramamurthy, Harikrishnan Unnikrishnan, Kevin D. Donohue

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

6 Scopus citations

Abstract

Sound source detection with distributed microphone systems find applications in acoustic imaging, sound source tracking, and beamforming. Sound source location using the Steered Response Power (SRP) algorithm and the Phase Transform (PHAT) has been shown to have a robust performance in noisy and reverberant environments. Recent works based on a simulation study have reported on further improvements in detection performance with a partial whitening transformation, referred to as PHAT- β. This paper experimentally analyzes the performance of PHAT- β in conjunction with Steered Response Coherent Power (SRCP) algorithm for sound source detection. Experimental performance results are presented for an 8 microphone perimeter array in different room reverberation and SNR levels. Values for partial whitening parameter (β) that optimize detection performance under different noise conditions are determined using a Receiver Operator Characteristics (ROC) analysis. Results support conclusions of the simulation study that partial whitening outperforms total (PHAT) and no whitening over a range of signal types and room conditions.

Original languageEnglish
Title of host publicationIEEE SoutheastCon 2009, Technical Proceedings
Pages422-427
Number of pages6
DOIs
StatePublished - 2009
EventIEEE Southeastcon 2009 - Atlanta, GA, United States
Duration: Mar 5 2009Mar 8 2009

Publication series

NameConference Proceedings - IEEE SOUTHEASTCON
ISSN (Print)1091-0050
ISSN (Electronic)1558-058X

Conference

ConferenceIEEE Southeastcon 2009
Country/TerritoryUnited States
CityAtlanta, GA
Period3/5/093/8/09

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Signal Processing

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