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Inter-speaker speech variability assessment using statistical deformable models from 3.0 Tesla magnetic resonance images

dc.contributor.authorVasconcelos, Maria J. M.
dc.contributor.authorVentura, Sandra Moreira Rua
dc.contributor.authorFreitas, Diamantino R. S.
dc.contributor.authorTavares, João Manuel R. S.
dc.date.accessioned2019-06-13T16:33:40Z
dc.date.available2019-06-13T16:33:40Z
dc.date.issued2011
dc.description.abstractThe morphological and dynamic characterisation of the vocal tract during speech production has been gaining greater attention due to the motivation of the latest improvements in magnetic resonance (MR) imaging; namely, with the use of higher magnetic fields, such as 3.0 Tesla. In this work, the automatic study of the vocal tract from 3.0 Tesla MR images was assessed through the application of statistical deformable models. Therefore, the primary goal focused on the analysis of the shape of the vocal tract during the articulation of European Portuguese sounds, followed by the evaluation of the results concerning the automatic segmentation, i.e. identification of the vocal tract in new MR images. In what concerns speech production, this is the first attempt to automatically characterise and reconstruct the vocal tract shape of 3.0 Tesla MR images by using deformable models; particularly, by using active and appearance shape models. The achieved results clearly evidence the adequacy and advantage of the automatic analysis of the 3.0 Tesla MR images of these deformable models in order to extract the vocal tract shape and assess the involved articulatory movements. These achievements are mostly required, for example, for a better knowledge of speech production, mainly of patients suffering from articulatory disorders, and to build enhanced speech synthesizer models.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1177/0954411911431664pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/13995
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSAGE Publicationspt_PT
dc.relationMODELAÇÃO DA FORMA E DO MOVIMENTO DE OBJECTOS EM SEQUÊNCIAS DE IMAGEM: APLICAÇÕES EM BIOMECÂNICA DO CORPO HUMANO
dc.relation.publisherversionhttps://journals.sagepub.com/doi/10.1177/0954411911431664pt_PT
dc.subjectActive and appearance shape modelspt_PT
dc.subjectImage analysispt_PT
dc.subjectMedical imagingpt_PT
dc.subjectModelling and segmentationpt_PT
dc.subjectMorphological studypt_PT
dc.subjectPortuguese speech languagept_PT
dc.subjectVocal tract shapept_PT
dc.subjectSpeechpt_PT
dc.titleInter-speaker speech variability assessment using statistical deformable models from 3.0 Tesla magnetic resonance imagespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleMODELAÇÃO DA FORMA E DO MOVIMENTO DE OBJECTOS EM SEQUÊNCIAS DE IMAGEM: APLICAÇÕES EM BIOMECÂNICA DO CORPO HUMANO
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F28817%2F2006/PT
oaire.citation.endPage196pt_PT
oaire.citation.issue3pt_PT
oaire.citation.startPage185pt_PT
oaire.citation.titleProceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicinept_PT
oaire.citation.volume226pt_PT
person.identifier.ciencia-id4812-0F93-A294
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication87a45b5b-6855-4d94-9dab-261a9c3b8e9c
relation.isAuthorOfPublication.latestForDiscovery87a45b5b-6855-4d94-9dab-261a9c3b8e9c
relation.isProjectOfPublication56e84c92-7cc8-4f31-b1de-4e042c45d8dc
relation.isProjectOfPublication.latestForDiscovery56e84c92-7cc8-4f31-b1de-4e042c45d8dc

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