Localization of multiple simultaneously active speakers in an acoustic sensor network

Andreas Brendel, Sharon Gannot, Walter Kellermann

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

6 Scopus citations

Abstract

This paper addresses the localization of an unknown number of acoustic sources in an enclosure. We extend a well established algorithm for localization of acoustic sources, which is based on the Expectation Maximization (EM) algorithm for clustering of phase differences by a Gaussian mixture model. Supporting a more appropriate probabilistic model for spherical data such as direction of arrival or phase differences, the von Mises distribution is used to derive a localization algorithm for multiple simultaneously active sources. Experiments with simulated room impulse responses confirm the superiority of the proposed algorithm to the existing method in terms of localization performance.

Original languageEnglish
Title of host publication2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop, SAM 2018
PublisherIEEE Computer Society
Pages450-454
Number of pages5
ISBN (Print)9781538647523
DOIs
StatePublished - 27 Aug 2018
Event10th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2018 - Sheffield, United Kingdom
Duration: 8 Jul 201811 Jul 2018

Publication series

NameProceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
Volume2018-July
ISSN (Electronic)2151-870X

Conference

Conference10th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2018
Country/TerritoryUnited Kingdom
CitySheffield
Period8/07/1811/07/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Funding

ACKNOWLEDGMENT This work was supported by DFG under contract no <Ke890/10-1> within the Research Unit FOR2457 ”Acoustic Sensor Networks” Fig. 2: Box plot of the localization error as defined in (17) for the method [15] (abbreviated with GMM) and the proposed method (abbreviated with vM). The number after the abbreviation gives the number of microphone pairs.

FundersFunder number
Deutsche Forschungsgemeinschaft<Ke890/10-1

    Fingerprint

    Dive into the research topics of 'Localization of multiple simultaneously active speakers in an acoustic sensor network'. Together they form a unique fingerprint.

    Cite this