Share Email Print
cover

Proceedings Paper

Identifying the common and subject-specific functional units of speech movements via a joint sparse non-negative matrix factorization framework
Author(s): Jonghye Woo; Fangxu Xing; Jerry L. Prince; Maureen Stone; Timothy G. Reese; Van J. Wedeen; Georges El Fakhri
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The tongue is capable of producing intelligible speech because of successful orchestration of muscle groupings— i.e., functional units—of the highly complex muscles over time. Due to the different motions that tongues produce, functional units are transitional structures which transform muscle activity to surface tongue geometry and they vary significantly from one subject to another. In order to compare and contrast the location and size of functional units in the presence of such substantial inter-person variability, it is essential to study both common and subject-specific functional units in a group of people carrying out the same speech task. In this work, a new normalization technique is presented to simultaneously identify the common and subject-specific functional units defined in the tongue when tracked by tagged magnetic resonance imaging. To achieve our goal, a joint sparse non-negative matrix factorization framework is used, which learns a set of building blocks and subject-specific as well as common weighting matrices from motion quantities extracted from displacements. A spectral clustering technique is then applied to the subject-specific and common weighting matrices to determine the subject-specific functional units for each subject and the common functional units across subjects. Our experimental results using in vivo tongue motion data show that our approach is able to identify the common and subject-specific functional units with reduced size variability of tongue motion during speech.

Paper Details

Date Published: 10 March 2020
PDF: 6 pages
Proc. SPIE 11313, Medical Imaging 2020: Image Processing, 113131S (10 March 2020); doi: 10.1117/12.2548991
Show Author Affiliations
Jonghye Woo, Massachusetts General Hospital (United States)
Harvard Medical School (United States)
Fangxu Xing, Massachusetts General Hospital (United States)
Harvard MedicalSchool (United States)
Jerry L. Prince, Johns Hopkins Univ. (United States)
Maureen Stone, Univ. of Maryland School of Dentistry (United States)
Timothy G. Reese, Massachusetts General Hospital (United States)
Harvard Medical School (United States)
Van J. Wedeen, Massachusetts General Hospital (United States)
Harvard Medical School (United States)
Georges El Fakhri, Massachusetts General Hospital (United States)
Harvard Medical School (United States)


Published in SPIE Proceedings Vol. 11313:
Medical Imaging 2020: Image Processing
Ivana Išgum; Bennett A. Landman, Editor(s)

© SPIE. Terms of Use
Back to Top
PREMIUM CONTENT
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?
close_icon_gray