3D vocal tract reconstruction using magnetic resonance imaging data to study fricative consonant production
Main Author: | |
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Publication Date: | 2015 |
Other Authors: | , , |
Format: | Article |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | https://hdl.handle.net/10216/78476 |
Summary: | The development of Magnetic Resonance Imaging (MRI) has grown rapidly in clinical practice. Currently, the use of MRI in speech research provides useful and accurate qualitative and quantitative data of speech articulation. The aim of this work was to describe an effective method to extract vocal tract and compute their volumes during speech production from MRI images. Using a 3.0 Tesla MRI system, 2D and 3D images of the vocal tract were collected and used to analyze the vocal tract during the production of fricative consonants. These images were also used to build the associated 3D models and compute their volumes. This approach showed that, in general, the volumes measured for the voiceless consonants are smaller than the counterpart voiced consonants. (c) Springer International Publishing Switzerland 2015. |
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3D vocal tract reconstruction using magnetic resonance imaging data to study fricative consonant productionCiências Tecnológicas, Ciências da engenharia e tecnologiasTechnological sciences, Engineering and technologyThe development of Magnetic Resonance Imaging (MRI) has grown rapidly in clinical practice. Currently, the use of MRI in speech research provides useful and accurate qualitative and quantitative data of speech articulation. The aim of this work was to describe an effective method to extract vocal tract and compute their volumes during speech production from MRI images. Using a 3.0 Tesla MRI system, 2D and 3D images of the vocal tract were collected and used to analyze the vocal tract during the production of fricative consonants. These images were also used to build the associated 3D models and compute their volumes. This approach showed that, in general, the volumes measured for the voiceless consonants are smaller than the counterpart voiced consonants. (c) Springer International Publishing Switzerland 2015.20152015-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10216/78476eng2212-939110.1007/978-3-319-15799-3_19Sandra M. Rua VenturaDiamantino Rui S. FreitasIsabel Maria A. P. RamosJoão Manuel R. S. Tavaresinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-27T17:25:12Zoai:repositorio-aberto.up.pt:10216/78476Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T22:13:42.574760Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
3D vocal tract reconstruction using magnetic resonance imaging data to study fricative consonant production |
title |
3D vocal tract reconstruction using magnetic resonance imaging data to study fricative consonant production |
spellingShingle |
3D vocal tract reconstruction using magnetic resonance imaging data to study fricative consonant production Sandra M. Rua Ventura Ciências Tecnológicas, Ciências da engenharia e tecnologias Technological sciences, Engineering and technology |
title_short |
3D vocal tract reconstruction using magnetic resonance imaging data to study fricative consonant production |
title_full |
3D vocal tract reconstruction using magnetic resonance imaging data to study fricative consonant production |
title_fullStr |
3D vocal tract reconstruction using magnetic resonance imaging data to study fricative consonant production |
title_full_unstemmed |
3D vocal tract reconstruction using magnetic resonance imaging data to study fricative consonant production |
title_sort |
3D vocal tract reconstruction using magnetic resonance imaging data to study fricative consonant production |
author |
Sandra M. Rua Ventura |
author_facet |
Sandra M. Rua Ventura Diamantino Rui S. Freitas Isabel Maria A. P. Ramos João Manuel R. S. Tavares |
author_role |
author |
author2 |
Diamantino Rui S. Freitas Isabel Maria A. P. Ramos João Manuel R. S. Tavares |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Sandra M. Rua Ventura Diamantino Rui S. Freitas Isabel Maria A. P. Ramos João Manuel R. S. Tavares |
dc.subject.por.fl_str_mv |
Ciências Tecnológicas, Ciências da engenharia e tecnologias Technological sciences, Engineering and technology |
topic |
Ciências Tecnológicas, Ciências da engenharia e tecnologias Technological sciences, Engineering and technology |
description |
The development of Magnetic Resonance Imaging (MRI) has grown rapidly in clinical practice. Currently, the use of MRI in speech research provides useful and accurate qualitative and quantitative data of speech articulation. The aim of this work was to describe an effective method to extract vocal tract and compute their volumes during speech production from MRI images. Using a 3.0 Tesla MRI system, 2D and 3D images of the vocal tract were collected and used to analyze the vocal tract during the production of fricative consonants. These images were also used to build the associated 3D models and compute their volumes. This approach showed that, in general, the volumes measured for the voiceless consonants are smaller than the counterpart voiced consonants. (c) Springer International Publishing Switzerland 2015. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015 2015-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/10216/78476 |
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https://hdl.handle.net/10216/78476 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2212-9391 10.1007/978-3-319-15799-3_19 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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