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dc.contributor.authorLow, Siow
dc.contributor.authorYiu, Ka Fai
dc.contributor.authorNordholm, Sven
dc.date.accessioned2017-01-30T13:36:18Z
dc.date.available2017-01-30T13:36:18Z
dc.date.created2010-03-09T20:02:47Z
dc.date.issued2009
dc.identifier.citationLow, Siow and Yiu, Ka Fai and Nordholm, Sven. 2009. Beamspace blind signal separation for speech enhancement. Optimization and Engineering. 10 (2): pp. 313-330.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/33312
dc.identifier.doi10.1007/s11081-008-9060-4
dc.description.abstract

Signal processing methods for speech enhancement are of vital interest for communications equipments. In particular, multichannel algorithms, which perform spatial filtering to separate signals that have overlapping frequency content but different spatial origins, are important for a wide range of applications. Two of the most popular multichannel methods are blind signal separation (BSS) and beamforming. Briefly, (BSS) separates mixed sources by optimizing the statistical independence among the outputs whilst beamforming optimizes the look direction of the desired source(s). However, both methods have separation limitations, in that BSS succumbs to reverberant environments and beamforming is very sensitive to array model mismatch. In this paper, we propose a novel hybrid scheme, called beamspace BSS, which is intended to compensate the aforementioned separation weaknesses by jointly optimizing the spatial selectivity and statistical independence of the sources. We show that beamspace BSS outperforms the separation performance of the conventional sensor space BSS significantly, particularly in reverberant room environments.

dc.publisherSpringer Netherlands
dc.subjectSpeech enhancement
dc.subjectBlind signal separation
dc.subjectMicrophone arrays
dc.subjectBeamspace
dc.titleBeamspace blind signal separation for speech enhancement
dc.typeJournal Article
dcterms.source.volume10
dcterms.source.number2
dcterms.source.startPage313
dcterms.source.endPage330
dcterms.source.issn13894420
dcterms.source.titleOptimization and Engineering
curtin.note

The original publication is available at : www.springerlink.com

curtin.departmentWestern Australian Telecommunications Research Institute (Research Institute)
curtin.accessStatusOpen access
curtin.facultyWestern Australian Telecommunications Research Institute (WATRI)
curtin.facultyFaculty of Science and Engineering


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