Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/81851
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dc.contributor.authorGoh, Shu Tingen
dc.contributor.authorWu, Kaien
dc.contributor.authorReju, Vaninirappuputhenpurayil Gopalanen
dc.contributor.authorKhong, Andy Wai Hoongen
dc.date.accessioned2017-04-19T04:32:59Zen
dc.date.accessioned2019-12-06T14:41:33Z-
dc.date.available2017-04-19T04:32:59Zen
dc.date.available2019-12-06T14:41:33Z-
dc.date.copyright2017en
dc.date.issued2016en
dc.identifier.citationWu, K., Reju, V. G., Khong, A. W. H., & Goh, S. T. (2017). Swarm Intelligence Based Particle Filter for Alternating Talker Localization and Tracking Using Microphone Arrays. IEEE/ACM Transactions on Audio, Speech and Language Processing, 25(6), 1384-1397.en
dc.identifier.issn2329-9290en
dc.identifier.urihttps://hdl.handle.net/10356/81851-
dc.description.abstractWe address the problem of localizing and tracking alternating (moving or stationary) talkers using microphone arrays in a room environment. One of the main challenges is the frequent (and possibly abrupt) change of talker positions which requires the algorithm to capture the active talker rapidly. In addition, the presence of interference, background noise and room reverberation degrades the tracking performance. We propose a new algorithm that jointly exploits the advantages of the particle filter (PF) and particle swarm intelligence. The PF is used as a general tracking framework which incorporates a proposed alternating source-dynamic model for recursive estimation of talker position. Unlike the conventional PF where particles operate independently in the particle sampling stage, the use of swarm intelligence allows particles to interact with each other, thereby improving convergence toward the active talker location. In addition, the memory mechanism in swarm intelligence allows particles to remain at their previous best-fit state estimate when signals are corrupted by interference, noise and/or reverberation. Simulations and experiments were conducted to demonstrate the effectiveness of the proposed algorithm.en
dc.format.extent14 p.en
dc.language.isoenen
dc.relation.ispartofseriesIEEE/ACM Transactions on Audio, Speech and Language Processingen
dc.rights© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [https://doi.org/10.1109/TASLP.2017.2693566].en
dc.subjectTalker localization and trackingen
dc.subjectMicrophone arraysen
dc.titleSwarm Intelligence Based Particle Filter for Alternating Talker Localization and Tracking Using Microphone Arraysen
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen
dc.identifier.doi10.1109/TASLP.2017.2693566en
dc.description.versionAccepted versionen
dc.identifier.rims197817en
item.grantfulltextopen-
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