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dc.contributor.authorChong, N.
dc.contributor.authorWong, S.
dc.contributor.authorVo, Ba Tuong
dc.contributor.authorNordholm, Sven
dc.contributor.authorMurray, Iain
dc.contributor.editorWinston Seah
dc.contributor.editorStephane Maag
dc.contributor.editorJayavardhana Gubbi
dc.date.accessioned2017-01-30T12:43:43Z
dc.date.available2017-01-30T12:43:43Z
dc.date.created2015-05-22T08:32:20Z
dc.date.issued2014
dc.identifier.citationChong, N. and Wong, S. and Vo, B.T. and Nordholm, S. and Murray, I. 2014. Multiple moving speaker tracking via degenerate unmixing estimation technique and Cardinality Balanced Multi-target Multi-Bernoulli Filter (DUET-CBMeMBer), in IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Apr 21 2014. Singapore: IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/24543
dc.identifier.doi10.1109/ISSNIP.2014.6827608
dc.description.abstract

The "cocktail party problem" has always been a challenging problem to solve and many blind source separation algorithms have been proposed as solutions. This problem has mainly been discussed for non-moving sound sources but it still remains for moving sound sources and high acoustic reverberations. The ability to localise and track multiple moving speakers is a pre-requisite to solving this problem. The aim of this paper is to show that a combination of Degenerate Unmixing Estimation Technique and a Cardinality Balanced Multitarget Multi-Bernoulli Filter provides a viable way to track multiple sound sources and subsequently address the problem of sound separation for moving targets.

dc.publisherIEEE
dc.subjectBlind Source Separation
dc.subjectsound localisation
dc.subjectDUET
dc.subjectCBMeMBer filter
dc.subjectmultiple speaker tracking
dc.titleMultiple moving speaker tracking via degenerate unmixing estimation technique and Cardinality Balanced Multi-target Multi-Bernoulli Filter (DUET-CBMeMBer)
dc.typeConference Paper
dcterms.source.startPage1
dcterms.source.endPage6
dcterms.source.titleIntelligent Sensors, Sensor Networks and Information Processing (ISSNIP),
dcterms.source.seriesIntelligent Sensors, Sensor Networks and Information Processing (ISSNIP),
dcterms.source.isbn978-1-4799-2842-2
dcterms.source.conferenceIEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing
dcterms.source.conference-start-dateApr 21 2014
dcterms.source.conferencelocationSingapore
dcterms.source.placeUS
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusFulltext not available


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