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dc.contributor.authorSofianos, Stratis
dc.contributor.authorAriyaeeinia, A.
dc.contributor.authorPolfreman, R.
dc.date.accessioned2013-03-21T14:59:53Z
dc.date.available2013-03-21T14:59:53Z
dc.date.issued2010
dc.identifier.citationSofianos , S , Ariyaeeinia , A & Polfreman , R 2010 , Towards effective singing voice extraction from stereophonic recordings . in IEEE Int Conf on Acoustics Speech and Signal Processing : ICASSP 2010 . Institute of Electrical and Electronics Engineers (IEEE) , pp. 233-236 . https://doi.org/10.1109/ICASSP.2010.5496004
dc.identifier.isbn978-1-4244-4296-6
dc.identifier.otherdspace: 2299/5052
dc.identifier.urihttp://hdl.handle.net/2299/10268
dc.description“This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder." “Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.”
dc.description.abstractExtracting a singing voice from its music accompaniment can significantly facilitate certain applications of Music Information Retrieval including singer identification and singing melody extraction. In this paper, we present a hybrid approach for this purpose, which combines properties of the Azimuth Discrimination and Resynthesis (ADRess) method with Independent Component Analysis (ICA). Our proposed approach is developed specifically for the case of singing voice separation from stereophonic recordings. The paper presents the characteristics of the proposed method and details an objective evaluation of its effectiveness.en
dc.format.extent422975
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofIEEE Int Conf on Acoustics Speech and Signal Processing
dc.titleTowards effective singing voice extraction from stereophonic recordingsen
dc.contributor.institutionSchool of Creative Arts
dc.contributor.institutionCentre for Engineering Research
dc.contributor.institutionSchool of Engineering and Technology
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionMusic
rioxxterms.versionofrecord10.1109/ICASSP.2010.5496004
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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