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Article: Beamspace blind signal separation for speech enhancement

TitleBeamspace blind signal separation for speech enhancement
Authors
KeywordsBeamspace
Blind Signal Separation
Microphone Arrays
Speech Enhancement
Issue Date2009
PublisherSpringer Verlag Dordrecht. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=1389-4420
Citation
Optimization And Engineering, 2009, v. 10 n. 2, p. 313-330 How to Cite?
AbstractSignal 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. © 2008 Springer Science+Business Media, LLC.
Persistent Identifierhttp://hdl.handle.net/10722/155914
ISSN
2015 Impact Factor: 0.9
2015 SCImago Journal Rankings: 0.732
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLow, SYen_US
dc.contributor.authorYiu, KFCen_US
dc.contributor.authorNordholm, Sen_US
dc.date.accessioned2012-08-08T08:38:22Z-
dc.date.available2012-08-08T08:38:22Z-
dc.date.issued2009en_US
dc.identifier.citationOptimization And Engineering, 2009, v. 10 n. 2, p. 313-330en_US
dc.identifier.issn1389-4420en_US
dc.identifier.urihttp://hdl.handle.net/10722/155914-
dc.description.abstractSignal 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. © 2008 Springer Science+Business Media, LLC.en_US
dc.languageengen_US
dc.publisherSpringer Verlag Dordrecht. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=1389-4420en_US
dc.relation.ispartofOptimization and Engineeringen_US
dc.subjectBeamspaceen_US
dc.subjectBlind Signal Separationen_US
dc.subjectMicrophone Arraysen_US
dc.subjectSpeech Enhancementen_US
dc.titleBeamspace blind signal separation for speech enhancementen_US
dc.typeArticleen_US
dc.identifier.emailYiu, KFC:cedric@hkucc.hku.hken_US
dc.identifier.authorityYiu, KFC=rp00206en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1007/s11081-008-9060-4en_US
dc.identifier.scopuseid_2-s2.0-84883577109en_US
dc.identifier.spage313en_US
dc.identifier.epage330en_US
dc.identifier.isiWOS:000266497700012-
dc.publisher.placeNetherlandsen_US
dc.identifier.scopusauthoridLow, SY=7102636488en_US
dc.identifier.scopusauthoridYiu, KFC=24802813000en_US
dc.identifier.scopusauthoridNordholm, S=7005690573en_US
dc.identifier.citeulike3626979-

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