Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKhong, Andy Wai Hoongen
dc.contributor.authorLiu, Benxuen
dc.contributor.authorReju, Vaninirappuputhenpurayil Gopalanen
dc.contributor.authorReddy, Vinod Veeraen
dc.identifier.citationLiu, B., Reju, V. G., Khong, A. W. H., & Reddy, V. V. (2014). A GMM Post-Filter for Residual Crosstalk Suppression in Blind Source Separation. IEEE Signal Processing Letters, 21(8), 942-946.en
dc.description.abstractExisting algorithms employ the Wiener filter to suppress residual crosstalk in the outputs of blind source separation algorithms. We show that, in the context of BSS, the Wiener filter is optimal in the maximum likelihood (ML) sense only for normally-distributed signals. We then propose to model the distribution of speech signals using the Gaussian mixture model (GMM) and then derive a post-filter in the ML sense using the expectation-maximization algorithm. We show that the GMM introduces a probabilistic sample weight that is able to emphasize speech segments that are free of crosstalk components in the BSS output and this results in a better estimate of the post-filter. Simulation results show that the proposed post-filter achieves better crosstalk suppression than the Wiener filter for BSS.en
dc.relation.ispartofseriesIEEE signal processing lettersen
dc.rights© 2014 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: [].en
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen
dc.titleA GMM post-filter for residual crosstalk suppression in blind source separationen
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen
dc.description.versionAccepted versionen
item.fulltextWith Fulltext-
Appears in Collections:EEE Journal Articles
Files in This Item:
File Description SizeFormat 
A GMM Post-Filter for Residual Crosstalk Suppression in Blind Source Separation.pdf708.6 kBAdobe PDFThumbnail

Citations 50

Updated on Jan 25, 2023

Web of ScienceTM
Citations 50

Updated on Jan 28, 2023

Page view(s) 20

Updated on Feb 2, 2023

Download(s) 20

Updated on Feb 2, 2023

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.