Auditory-based subband blind source separation using sample-by-sample and Infomax algorithms

dc.contributor.authorSalem, Abderraouf Ben
dc.contributor.authorSelouani, Sid Ahmed
dc.contributor.authorHamam, Habib
dc.date.accessioned2020-01-30T08:29:31Z
dc.date.available2020-01-30T08:29:31Z
dc.date.copyright2010en_US
dc.date.issued2010
dc.descriptionThis conference paper is not available at CUD collection. The version of scholarly record of this conference paper is published in The 2010 International Conference of Signal and Image Engineering (2010), available online at: http://www.iaeng.org/publication/WCE2010/WCE2010_pp651-655.pdf.en_US
dc.description.abstractWe present a new subband decomposition method for the separation of convolutive mixtures of speech. This method uses a sample-by-sample algorithm to perform the subband decomposition by mimicking the processing performed by the human ear. The unknown source signals are separated by maximizing the entropy of a transformed set of signal mixtures through the use of a gradient ascent algorithm. Experimental results show the efficiency of the proposed approach in terms of signal-to-interference ratio. Compared with the fullband method that uses the Infomax algorithm, our method shows an important improvement of the output signal-to-noise ratio when the sensor inputs are severely degraded by additive noise.en_US
dc.identifier.citationSalem, A. B., Selouani, S.-A., & Hamam, H. (2010). Auditory-based subband blind source separation using sample-by-sample and Infomax algorithms. In WCE 2010 - World Congress on Engineering 2010 (Vol. 1, pp. 651–655). http://www.iaeng.org/publication/WCE2010/WCE2010_pp651-655.pdfen_US
dc.identifier.isbn9789881701299
dc.identifier.urihttp://www.iaeng.org/publication/WCE2010/WCE2010_pp651-655.pdf
dc.identifier.urihttps://hdl.handle.net/20.500.12519/89
dc.language.isoenen_US
dc.relationAuthors Affiliations: Salem, A.B., Canadian University of Dubai, Dubai, United Arab Emirates; Selouani, S.-A., Université de Moncton, Campus de Shippagan, NB E8S 1P6, Canada; Hamam, H., Université de Moncton, Campus de Moncton, NB ElA 3E9, Canada
dc.relation.ispartofseriesWCE 2010 - World Congress on Engineering 2010;Vol. 1
dc.rights.holderCopyright : 2010 International Association of Engineers
dc.subjectConvolutive mixtureen_US
dc.subjectConvolutive sourcesen_US
dc.subjectEar modelen_US
dc.subjectFull banden_US
dc.subjectGradient ascenten_US
dc.subjectHuman earen_US
dc.subjectInfomax algorithmen_US
dc.subjectInfomax algorithmsen_US
dc.subjectOutput signal-to-noise ratiosen_US
dc.subjectSensor inputsen_US
dc.subjectSignal to interference ratioen_US
dc.subjectSource signalsen_US
dc.subjectSub-bandsen_US
dc.subjectSubband decompositionen_US
dc.subjectSignal to noise ratioen_US
dc.subjectBlind source separationen_US
dc.titleAuditory-based subband blind source separation using sample-by-sample and Infomax algorithmsen_US
dc.typeConference Paperen_US
dcterms.rightsPermission to reuse abstract has been secured from International Association of Engineers.

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