Towards the Automatic Study of the Vocal Tract From Magnetic Resonance Images

Detalhes bibliográficos
Autor(a) principal: Vasconcelos, Maria João M.
Data de Publicação: 2011
Outros Autores: Ventura, Sandra Rua, Freitas, Diamantino Rui S., Tavares, João Manuel R.S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/17362
Resumo: Over the last few decades, researchers have been investigating the mechanisms involved in speech production. Image analysis can be a valuable aid in the understanding of the morphology of the vocal tract.
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spelling Towards the Automatic Study of the Vocal Tract From Magnetic Resonance ImagesVocal tract’s shapeMorphological studySpeech productionSpeech rehabilitationModeling and simulationImage segmentationDeformable modelsOver the last few decades, researchers have been investigating the mechanisms involved in speech production. Image analysis can be a valuable aid in the understanding of the morphology of the vocal tract.Repositório Científico do Instituto Politécnico do PortoVasconcelos, Maria João M.Ventura, Sandra RuaFreitas, Diamantino Rui S.Tavares, João Manuel R.S.2021-03-09T16:44:58Z20112013-11-17T18:36:50Z2011-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/17362eng0892199710.1016/j.jvoice.2010.05.002metadata only accessinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-13T12:42:26Zoai:recipp.ipp.pt:10400.22/17362Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:23:51.975482Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Towards the Automatic Study of the Vocal Tract From Magnetic Resonance Images
title Towards the Automatic Study of the Vocal Tract From Magnetic Resonance Images
spellingShingle Towards the Automatic Study of the Vocal Tract From Magnetic Resonance Images
Vasconcelos, Maria João M.
Vocal tract’s shape
Morphological study
Speech production
Speech rehabilitation
Modeling and simulation
Image segmentation
Deformable models
title_short Towards the Automatic Study of the Vocal Tract From Magnetic Resonance Images
title_full Towards the Automatic Study of the Vocal Tract From Magnetic Resonance Images
title_fullStr Towards the Automatic Study of the Vocal Tract From Magnetic Resonance Images
title_full_unstemmed Towards the Automatic Study of the Vocal Tract From Magnetic Resonance Images
title_sort Towards the Automatic Study of the Vocal Tract From Magnetic Resonance Images
author Vasconcelos, Maria João M.
author_facet Vasconcelos, Maria João M.
Ventura, Sandra Rua
Freitas, Diamantino Rui S.
Tavares, João Manuel R.S.
author_role author
author2 Ventura, Sandra Rua
Freitas, Diamantino Rui S.
Tavares, João Manuel R.S.
author2_role author
author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Vasconcelos, Maria João M.
Ventura, Sandra Rua
Freitas, Diamantino Rui S.
Tavares, João Manuel R.S.
dc.subject.por.fl_str_mv Vocal tract’s shape
Morphological study
Speech production
Speech rehabilitation
Modeling and simulation
Image segmentation
Deformable models
topic Vocal tract’s shape
Morphological study
Speech production
Speech rehabilitation
Modeling and simulation
Image segmentation
Deformable models
description Over the last few decades, researchers have been investigating the mechanisms involved in speech production. Image analysis can be a valuable aid in the understanding of the morphology of the vocal tract.
publishDate 2011
dc.date.none.fl_str_mv 2011
2011-01-01T00:00:00Z
2013-11-17T18:36:50Z
2021-03-09T16:44:58Z
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url http://hdl.handle.net/10400.22/17362
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 08921997
10.1016/j.jvoice.2010.05.002
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eu_rights_str_mv openAccess
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