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Conference Paper: Autotrace: an automatic system for tracing tongue contours

TitleAutotrace: an automatic system for tracing tongue contours
Authors
Issue Date2014
PublisherAcoustical Society of America. The Journal's web site is located at http://asa.aip.org/jasa.html
Citation
The 2014 Fall Meeting of the Acoustical Society of America, Indianapolis, IN., 27–31 October 2014. In Journal of the Acoustical Society of America, 2014, v. 136 n. 4, p. 2104-2104 How to Cite?
AbstractUltrasound imaging of the tongue is used for analyzing the articulatory features of speech sounds. In order to be able to study the movements of the tongue, the tongue surface contour has to be traced for each recorded image. In order to capture the details of the tongue’s movement during speech, the ultrasound video is generally recorded at the highest frame rate available. Detail comes at a price. The number of frames produced from even a single non-trivial experiment is often far too large to trace manually. The Arizona Phonological Imaging Lab (APIL) at the University of Arizona has developed a suite of tools to simplify the labeling and analysis of tongue contours. AutoTrace is a state-of-the-art automatic method for tracing tongue contours that is robust across speakers and languages and operates independently of frame order. The workshop will outline the software installation procedure, introduce the included tools for selecting and preparing training data, provide instructions for automated tracing, and overview a method for measuring the network’s accuracy using the Mean Sum of Distances (MSD) metric described by Li et al. (2005). © 2014 Acoustical Society of America
Persistent Identifierhttp://hdl.handle.net/10722/211048
ISSN
2015 Impact Factor: 1.572
2015 SCImago Journal Rankings: 0.938

 

DC FieldValueLanguage
dc.contributor.authorHahn-Powell, GV-
dc.contributor.authorArchangeli, D-
dc.date.accessioned2015-07-03T08:59:15Z-
dc.date.available2015-07-03T08:59:15Z-
dc.date.issued2014-
dc.identifier.citationThe 2014 Fall Meeting of the Acoustical Society of America, Indianapolis, IN., 27–31 October 2014. In Journal of the Acoustical Society of America, 2014, v. 136 n. 4, p. 2104-2104-
dc.identifier.issn0001-4966-
dc.identifier.urihttp://hdl.handle.net/10722/211048-
dc.description.abstractUltrasound imaging of the tongue is used for analyzing the articulatory features of speech sounds. In order to be able to study the movements of the tongue, the tongue surface contour has to be traced for each recorded image. In order to capture the details of the tongue’s movement during speech, the ultrasound video is generally recorded at the highest frame rate available. Detail comes at a price. The number of frames produced from even a single non-trivial experiment is often far too large to trace manually. The Arizona Phonological Imaging Lab (APIL) at the University of Arizona has developed a suite of tools to simplify the labeling and analysis of tongue contours. AutoTrace is a state-of-the-art automatic method for tracing tongue contours that is robust across speakers and languages and operates independently of frame order. The workshop will outline the software installation procedure, introduce the included tools for selecting and preparing training data, provide instructions for automated tracing, and overview a method for measuring the network’s accuracy using the Mean Sum of Distances (MSD) metric described by Li et al. (2005). © 2014 Acoustical Society of America-
dc.languageeng-
dc.publisherAcoustical Society of America. The Journal's web site is located at http://asa.aip.org/jasa.html-
dc.relation.ispartofJournal of the Acoustical Society of America-
dc.rightsJournal of the Acoustical Society of America. Copyright © Acoustical Society of America.-
dc.titleAutotrace: an automatic system for tracing tongue contours-
dc.typeConference_Paper-
dc.identifier.emailArchangeli, D: darchang@hku.hk-
dc.identifier.authorityArchangeli, D=rp01748-
dc.identifier.doi10.1121/1.4899570-
dc.identifier.hkuros244580-
dc.identifier.volume136-
dc.identifier.issue4-
dc.identifier.spage2104-
dc.identifier.epage2104-
dc.publisher.placeUnited States-

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