Unsupervised Multiple Source Localization Using Relative Harmonic Coefficients

Yonggang Hu, Prasanga N. Samarasinghe, Thushara D. Abhayapala, Sharon Gannot

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

26 Scopus citations

Abstract

This paper presents an unsupervised multi-source localization algorithm using a recently introduced feature called the relative harmonic coefficients. We derive a closed-form expression of the feature and briefly summarize its unique properties. We then exploit this feature to develop a single-source frame/bin detector which simplifies the challenging problem of multiple source localization into a single source localization problem. We show that the underlying method is suitable for localization using overlapped, disjoint as well as simultaneous multi-source recordings. Experimental results in both simulated and real-life reverberant environments confirm improved localization accuracy of the proposed method in comparison with the existing state-of-art approach.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages571-575
Number of pages5
ISBN (Electronic)9781509066315
DOIs
StatePublished - May 2020
Event2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Barcelona, Spain
Duration: 4 May 20208 May 2020

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2020-May
ISSN (Print)1520-6149

Conference

Conference2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020
Country/TerritorySpain
CityBarcelona
Period4/05/208/05/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Funding

∗Yonggang Hu is sponsored by CSC agency for funding.

FundersFunder number
China Scholarship Council

    Keywords

    • Unsupervised multiple source localization
    • relative harmonic coefficients
    • single-source frame/bin detector.

    Fingerprint

    Dive into the research topics of 'Unsupervised Multiple Source Localization Using Relative Harmonic Coefficients'. Together they form a unique fingerprint.

    Cite this