Toward automatic vocal tract area function estimation from accelerated three-dimensional magnetic resonance imaging

Yoon-Chul Kim, Jangwon Kim, Michael Proctor, Asterios Toutios, Krishna Nayak, Sungbok Lee, Shrikanth Narayanan

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

Vocal tract area function estimation from three-dimensional (3D) volumetric dataset often involves complex and manual procedures such as oblique slice cutting and image segmentation. We introduce a semi-automatic method for estimating vocal tract area function from 3D Magnetic Resonance Imaging (MRI) datasets. The method was implemented on a custom MATLAB graphical user interface and computes the area function in a user-interactive way. The 3D MRI datasets were acquired with 1.25 mm isotropic resolution during 8-seconds sustained sound productions of vowels /IY/, /AA/, /UW/ by one male native speaker of American English at a 3 Tesla MRI scanner.
Original languageEnglish
Title of host publicationProceedings of the Interspeech 2013 Workshop on Speech Production in Automatic Speech Recognition (SPASR)
EditorsK. Livescu
Place of PublicationChicago, Illinois
PublisherToyota Technological Institute at Chicago
Pages1-4
Number of pages4
Publication statusPublished - 2013
Externally publishedYes
EventWorkshop on Speech Production in Automatic Speech Recognition - Lyon, France
Duration: 30 Aug 201330 Aug 2013

Workshop

WorkshopWorkshop on Speech Production in Automatic Speech Recognition
CityLyon, France
Period30/08/1330/08/13

Keywords

  • speech production
  • magnetic resonance imaging
  • image segmentation
  • area function
  • vocal tract shape

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  • Cite this

    Kim, Y-C., Kim, J., Proctor, M., Toutios, A., Nayak, K., Lee, S., & Narayanan, S. (2013). Toward automatic vocal tract area function estimation from accelerated three-dimensional magnetic resonance imaging. In K. Livescu (Ed.), Proceedings of the Interspeech 2013 Workshop on Speech Production in Automatic Speech Recognition (SPASR) (pp. 1-4). Chicago, Illinois: Toyota Technological Institute at Chicago.