Meeting Banner
Abstract #0940

Intermittently Tagged Real-Time MRI Reveals Internal Tongue Motion during Speech Production

Weiyi Chen1, Dani Byrd2, Shrikanth Narayanan1, and Krishna S Nayak1

1Ming Hsieh Department of Electrical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States, 2Department of Linguistics, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA, United States

The tongue is arguably the most important articulator enabling human speech production. Current tagged MRI methods for studying internal tongue motion evolved from CINE cardiac techniques that rely on multiple repetitions with perfect synchronization. However, speech production, unlike cardiac motion, possesses great token, type and individual variability due to its voluntary, highly context-sensitive and information-encoding nature. In this work, we demonstrate tagged RT-MRI of speech production, without requiring any repetitions or synchronization for data re-binning. We demonstrate capture of several important tongue deformation patterns and their relative timing.

This abstract and the presentation materials are available to members only; a login is required.

Join Here