NDLI: Automatic segmentation of vocal tract MR images

Content Provider	IEEE Xplore Digital Library
Author	Raeesy, Z. Rueda, S. Udupa, J.K. Coleman, J.
Copyright Year	2013
Description	Author affiliation: Phonetics Lab., Univ. of Oxford, Oxford, UK (Raeesy, Z.; Coleman, J.) \|\| Dept. of Eng. Sci., Univ. of Oxford, Oxford, UK (Rueda, S.) \|\| Dept. of Radiol., Univ. of Pennsylvania, Philadelphia, PA, USA (Udupa, J.K.)
Abstract	Magnetic resonance imaging (MRI) is widely applied as a safe and reliable method in studying the hidden mechanisms of human speech production. Automatic segmentation of vocal tract shape in MRI is a challenging task due to the dynamic nature of articulation, the variability in the shape introduced by different sounds or different speakers' articulatory configurations, and the connectivity of vocal tract airway to other channels of air such as the nasal tract. A new approach for the automatic segmentation of the vocal tract shape in dynamic MR images is proposed. A method of automatic landmark tagging by recursive boundary subdivision (RBS) is applied to obtain the corresponding sets of landmarks on the vocal tract contours. The oriented active shape model (OASM) technique is adopted to recognise and delineate the shape of the vocal tract in standardised MR images. The results are presented and evaluated both qualitatively and quantitatively. We demonstrate that this is a promising approach for automatic segmentation of large databases of vocal tract images for the purposes of speech production studies.
Sponsorship	IEEE
Starting Page	1328
Ending Page	1331
File Size	402190
Page Count	4
File Format	PDF
ISBN	9781467364560
ISSN	19457928
e-ISBN	9781467364553
DOI	10.1109/ISBI.2013.6556777
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Shape Image segmentation Magnetic resonance imaging Active shape model Training Speech Wires OASM Vocal tract MR images image segmentation speech production
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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