Toward Automatic Vocal Tract Area Function Estimation from Accelerated Three-dimensional Magnetic Resonance Imaging

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.

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Cite this paper

@inproceedings{Kim2013TowardAV, title={Toward Automatic Vocal Tract Area Function Estimation from Accelerated Three-dimensional Magnetic Resonance Imaging}, author={Yoon-Chul Kim and Jangwon Kim and Michael I. Proctor and Asterios Toutios and Krishna S. Nayak and Sungbok Lee and Shrikanth S. Narayanan}, year={2013} }