Semi-automatically tracking articulatory features in 2D dynamic sagittal MRI images

Motivation: The motivation for this research is from the need to improve diagnosis and treatment of speech disorders, as well as advancements in speech synthesis. Goal(s): By analyzing the movement of the lips, tongue and velum during speech, we aim to gain insights into the coordination required for accurate pronunciation. Approach: UsUsing coordinate data from corresponding frames of the corresponding phrase across five samples, we measure y-coordinate difference, calculating the velocity for the feature's movements. Results: Results showed that 14 mm tongue displacement during "at," with velocities of 54mm/s and 52mm/s. Velum contact occurred in 78% of total frames from 17500 frames. Impact: These results provide insights into tongue and velum movement during speech, potentially aiding clinicians in diagnosing speech disorders and improving therapeutic techniques. This study also suggests a question on the neural control of articulation and speech production accuracy.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/4151
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Semi-automatically tracking articulatory features in 2D dynamic sagittal MRI images

Bradley P. Sutton, Fangxu Xing, Imani Gilbert, Jamie L. Perry et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Hand Gesture Recognition Systems
article

Semi-automatically tracking articulatory features in 2D dynamic sagittal MRI images

Bradley P. Sutton, Fangxu Xing, Imani Gilbert, Jamie L. Perry, Laura Spinu, Jiyoon Kim, Jonghye Woo
article en

Abstract

Motivation: The motivation for this research is from the need to improve diagnosis and treatment of speech disorders, as well as advancements in speech synthesis. Goal(s): By analyzing the movement of the lips, tongue and velum during speech, we aim to gain insights into the coordination required for accurate pronunciation. Approach: UsUsing coordinate data from corresponding frames of the corresponding phrase across five samples, we measure y-coordinate difference, calculating the velocity for the feature's movements. Results: Results showed that 14 mm tongue displacement during "at," with velocities of 54mm/s and 52mm/s. Velum contact occurred in 78% of total frames from 17500 frames. Impact: These results provide insights into tongue and velum movement during speech, potentially aiding clinicians in diagnosing speech disorders and improving therapeutic techniques. This study also suggests a question on the neural control of articulation and speech production accuracy.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 75%
Hand Gesture Recognition Systems
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Semi-automatically tracking articulatory features in 2D dynamic sagittal MRI images — Bradley P. Sutton, Fangxu Xing, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2025) | TGRS Research Map | TGRS