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

dc.contributor.author Salem, Abderraouf Ben
dc.contributor.author Selouani, Sid Ahmed
dc.contributor.author Hamam, Habib
dc.date.accessioned 2020-01-30T08:29:31Z
dc.date.available 2020-01-30T08:29:31Z
dc.date.copyright 2010 en_US
dc.date.issued 2010
dc.description This 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.abstract We 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.citation Salem, 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.pdf en_US
dc.identifier.isbn 9789881701299
dc.identifier.uri http://www.iaeng.org/publication/WCE2010/WCE2010_pp651-655.pdf
dc.identifier.uri https://hdl.handle.net/20.500.12519/89
dc.language.iso en en_US
dc.relation Authors 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.ispartofseries WCE 2010 - World Congress on Engineering 2010;Vol. 1
dc.rights.holder Copyright : 2010 International Association of Engineers
dc.subject Convolutive mixture en_US
dc.subject Convolutive sources en_US
dc.subject Ear model en_US
dc.subject Full band en_US
dc.subject Gradient ascent en_US
dc.subject Human ear en_US
dc.subject Infomax algorithm en_US
dc.subject Infomax algorithms en_US
dc.subject Output signal-to-noise ratios en_US
dc.subject Sensor inputs en_US
dc.subject Signal to interference ratio en_US
dc.subject Source signals en_US
dc.subject Sub-bands en_US
dc.subject Subband decomposition en_US
dc.subject Signal to noise ratio en_US
dc.subject Blind source separation en_US
dc.title Auditory-based subband blind source separation using sample-by-sample and Infomax algorithms en_US
dc.type Conference Paper en_US
dcterms.rights Permission to reuse abstract has been secured from International Association of Engineers.
Files
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: