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dc.contributor.authorChong, Nicholas Ewe Hai
dc.contributor.supervisorAssoc. Prof. Ba Tuong
dc.contributor.supervisorProf. Sven Nordholm
dc.contributor.supervisorDr Iain Murray
dc.date.accessioned2017-01-30T10:01:31Z
dc.date.available2017-01-30T10:01:31Z
dc.date.created2016-10-18T04:59:35Z
dc.date.issued2015
dc.identifier.urihttp://hdl.handle.net/20.500.11937/1250
dc.description.abstract

The problem of separating a time varying number of speech sources in a room is difficult to solve. The challenge lies in estimating the number and the location of these speech sources. Furthermore, the tracked speech sources need to be separated. This thesis proposes a solution which utilises the Random Finite Set approach to estimate the number and location of these speech sources and subsequently separate the speech source mixture via time frequency masking.

dc.languageen
dc.publisherCurtin University
dc.titleAn Online Solution for Localisation, Tracking and Separation of Moving Speech Sources
dc.typeThesis
dcterms.educationLevelPh.D.
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusOpen access


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