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.

Date

2013

Authors

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

Journal

ISCA Workshop on Speech Production in Automatic Speech Recognition, Lyon, France

Pages

2-5