Show simple item record

dc.contributor.authorMoir, T
dc.contributor.authorAlam, F
dc.contributor.authorHarris, J
dc.date.accessioned2011-09-05T23:34:40Z
dc.date.accessioned2011-09-05T23:35:32Z
dc.date.available2011-09-05T23:34:40Z
dc.date.available2011-09-05T23:35:32Z
dc.date.copyright2011-12
dc.date.issued2011-09-06
dc.identifier.citationThe eighteenth annual Conference on Mechatronics and Machine Vision in Practice, Brisbane, Australia, 2011-12-06 - 2011-12-08
dc.identifier.urihttp://hdl.handle.net/10292/1987
dc.description.abstractCrosstalk resistant adaptive noise cancellation (CTRANC) is a method of separat-ing convolutively mixed sources where little a priori information is known about the system. Possible areas of application for such an algorithm include speech sig-nal processing, in telecommunications, and in the biomedical industry. In this pa-per we propose a novel adaptation to the traditional CTRANC which increases computational efficiency when the number of sources fits the requirement of where and . Preliminary results also show a modest im-provement in separation performance when comparing it to the multiple-input multiple-output method proposed by Mei and Yin (2004).
dc.publisherAUT University
dc.relation.replaceshttp://hdl.handle.net/10292/1986
dc.relation.replaces10292/1986
dc.relation.urihttp://www.m2vip.com/
dc.rightsNOTICE: this is the author’s version of a work that was accepted for presentation. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication.
dc.titleBlind source separation for adaptive speech control
dc.typeConference Contribution
dc.rights.accessrightsOpenAccess


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record