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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3PFRMML
Repositorysid.inpe.br/sibgrapi/2017/08.21.23.36
Last Update2017:08.21.23.36.03 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2017/08.21.23.36.03
Metadata Last Update2022:06.14.00.09.01 (UTC) administrator
DOI10.1109/SIBGRAPI.2017.54
Citation KeySampaioJack:2017:VoTrMo
TitleVocal tract morphology using real-time magnetic resonance imaging
FormatOn-line
Year2017
Access Date2024, Oct. 08
Number of Files1
Size652 KiB
2. Context
Author1 Sampaio, Rafael de Assuncao
2 Jackowski, Marcel Parolin
Affiliation1 Institute of Mathematics and Statistics, University of Sao Paulo
2 Institute of Mathematics and Statistics, University of Sao Paulo
EditorTorchelsen, Rafael Piccin
Nascimento, Erickson Rangel do
Panozzo, Daniele
Liu, Zicheng
Farias, Mylène
Viera, Thales
Sacht, Leonardo
Ferreira, Nivan
Comba, João Luiz Dihl
Hirata, Nina
Schiavon Porto, Marcelo
Vital, Creto
Pagot, Christian Azambuja
Petronetto, Fabiano
Clua, Esteban
Cardeal, Flávio
e-Mail Addressrafa.ime.usp@gmail.com
Conference NameConference on Graphics, Patterns and Images, 30 (SIBGRAPI)
Conference LocationNiterói, RJ, Brazil
Date17-20 Oct. 2017
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2017-08-21 23:36:03 :: rafa.ime.usp@gmail.com -> administrator ::
2022-06-14 00:09:01 :: administrator -> :: 2017
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordslevel set
active contours
morphology
vocal tract
magnetic resonance imaging
AbstractReal-time Magnetic Resonance Imaging (rtMRI) leads to the dynamic observation of hidden processes of articulation in an unprecedented way. The non-invasive image acquisition nature of MRI combined with enhanced anatomical discrimination made rtMRI the reference in capturing vocal tract configurations during speech production. However, this development also unveiled challenges, such as the shape extraction and analysis of the vocal tract contours automatically. This work describes automated techniques for the segmentation of the vocal tract and identification of articulatory structures using rtMRI. The identification of these structures is vital for modeling articulatory synthesis. The methodology is based on level set methods to outline the vocal tract shape. Changes in the vocal tract shape and its structures were investigated for different corpora in order to bind the expression of phonemes and the behavior of the anatomical shapes. These shapes were labeled from basal form invariants, whose final evolution yielded the classification of regions of interest. The methodology resulting from this work may be employed in accent-suppression systems, speech production for laryngectomized patients, and therapetic techniques for children suffering from speech apraxia.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2017 > Vocal tract morphology...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Vocal tract morphology...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3PFRMML
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3PFRMML
Languageen
Target FilePID4960363.pdf
User Grouprafa.ime.usp@gmail.com
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3PKCC58
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2017/09.12.13.04 39
sid.inpe.br/sibgrapi/2022/06.10.21.49 2
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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