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Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/10872
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dc.contributor.authorAbel, Andrewen_UK
dc.contributor.authorHussain, Amiren_UK
dc.contributor.authorNguyen, Quoc-Dinhen_UK
dc.contributor.authorRingeval, Fabienen_UK
dc.contributor.authorChetouani, Mohameden_UK
dc.contributor.authorMilgram, Mauriceen_UK
dc.contributor.editorFierrez, Jen_UK
dc.contributor.editorOrtega-Garcia, Jen_UK
dc.contributor.editorEsposito, Aen_UK
dc.contributor.editorDrygajlo, Aen_UK
dc.contributor.editorFaundez-Zanuy, Men_UK
dc.date.accessioned2017-08-11T22:43:13Z-
dc.date.available2017-08-11T22:43:13Zen_UK
dc.date.issued2009en_UK
dc.identifier.urihttp://hdl.handle.net/1893/10872-
dc.description.abstractIn recent years, the established link between the various human communication production domains has become more widely utilised in the field of speech processing. In this work, a state of the art Semi Adaptive Appearance Model (SAAM) approach developed by the authors is used for automatic lip tracking, and an adapted version of our vowel based speech segmentation system is employed to automatically segment speech. Canonical Correlation Analysis (CCA) on segmented and non segmented data in a range of noisy speech environments finds that segmented speech has a significantly better audiovisual correlation, demonstrating the feasibility of our techniques for further development as part of a proposed audiovisual speech enhancement system.en_UK
dc.language.isoenen_UK
dc.publisherSpringer-Verlagen_UK
dc.relationAbel A, Hussain A, Nguyen Q, Ringeval F, Chetouani M & Milgram M (2009) Maximising audiovisual correlation with automatic lip tracking and vowel based segmentation. In: Fierrez J, Ortega-Garcia J, Esposito A, Drygajlo A & Faundez-Zanuy M (eds.) Biometric ID Management and Multimodal Communication: Joint COST 2101 and 2102 International Conference, BioID_MultiComm 2009, Madrid, Spain: September 2009, Proceedings. Lecture Notes in Computer Science, 5707. Berlin, Germany: Springer-Verlag, pp. 65-72. http://www.springer.com/computer/image+processing/book/978-3-642-04390-1; https://doi.org/10.1007/978-3-642-04391-8_9en_UK
dc.relation.ispartofseriesLecture Notes in Computer Science, 5707en_UK
dc.rightsThe publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.en_UK
dc.rights.urihttp://www.rioxx.net/licenses/under-embargo-all-rights-reserveden_UK
dc.titleMaximising audiovisual correlation with automatic lip tracking and vowel based segmentationen_UK
dc.typePart of book or chapter of booken_UK
dc.rights.embargodate3000-12-01en_UK
dc.rights.embargoreason[Abel_2009_Maximising_Audiovisual_Correlation.pdf] The publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.en_UK
dc.identifier.doi10.1007/978-3-642-04391-8_9en_UK
dc.citation.issn0302-9743en_UK
dc.citation.spage65en_UK
dc.citation.epage72en_UK
dc.citation.publicationstatusPublisheden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.identifier.urlhttp://www.springer.com/computer/image+processing/book/978-3-642-04390-1en_UK
dc.author.emailaka@cs.stir.ac.uken_UK
dc.citation.btitleBiometric ID Management and Multimodal Communication: Joint COST 2101 and 2102 International Conference, BioID_MultiComm 2009, Madrid, Spain: September 2009, Proceedingsen_UK
dc.citation.isbn978-3642043901en_UK
dc.publisher.addressBerlin, Germanyen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.contributor.affiliationUniversity of Paris 6 (Pierre and Marie Curie University)en_UK
dc.contributor.affiliationUniversity of Paris 6 (Pierre and Marie Curie University)en_UK
dc.contributor.affiliationUniversity of Paris 6 (Pierre and Marie Curie University)en_UK
dc.contributor.affiliationUniversity of Paris 6 (Pierre and Marie Curie University)en_UK
dc.identifier.wtid735647en_UK
dc.contributor.orcid0000-0002-8080-082Xen_UK
dcterms.dateAccepted2009-12-31en_UK
dc.date.filedepositdate2013-02-06en_UK
rioxxterms.typeBook chapteren_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorAbel, Andrew|en_UK
local.rioxx.authorHussain, Amir|0000-0002-8080-082Xen_UK
local.rioxx.authorNguyen, Quoc-Dinh|en_UK
local.rioxx.authorRingeval, Fabien|en_UK
local.rioxx.authorChetouani, Mohamed|en_UK
local.rioxx.authorMilgram, Maurice|en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.contributorFierrez, J|en_UK
local.rioxx.contributorOrtega-Garcia, J|en_UK
local.rioxx.contributorEsposito, A|en_UK
local.rioxx.contributorDrygajlo, A|en_UK
local.rioxx.contributorFaundez-Zanuy, M|en_UK
local.rioxx.freetoreaddate3000-12-01en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||en_UK
local.rioxx.filenameAbel_2009_Maximising_Audiovisual_Correlation.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source978-3642043901en_UK
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