Abstract

Speech production modeling relies on various forms of biometric measurements for getting articulatory data. Recent advances in real‐time magnetic resonance imaging (rtMRI) capabilities [Narayanan et al., J. Acoust. Soc. Am. 113, 2258 (2003)] which make it possible to capture vocal tract images at 24‐fps promise to illuminate finer details of speech production. This study presents our first effort toward automatically constructing statistical models of the vocal tract from rtMRI data. We present an automated method of extracting the regions of interest from image sequences based on Kalman snakes and optical flow [Cootes et al., IVCV July 1994]. The time resolution of this image tracking system is improved by incorporating information from parallel vocal tract movement data obtained by the electromagnetic articulography (EMA) system [Perkell et al., J. Acoust. Soc. Am. 92]. EMA data provide kinematic information …

Date

2003

Authors

Abhinav Sethy, Shrikanth Narayanan, Sungbok Lee, Dani Byrd

Journal

The Journal of the Acoustical Society of America

Volume

114

Issue

4_Supplement

Pages

2392-2393

Publisher

Acoustical Society of America