3D markerless tracking of speech movements with submillimeter accuracy.

ABSTRACT: Speech movements are highly complex and require precise tuning of both spatial and timing of oral articulators to support intelligible communication. These properties also make measurement of speech movements challenging, often requiring extensive physical sensors placed around the mouth and face that are not easily tolerated by certain populations such as young children. Recent progress in machine learning-based markerless facial landmark tracking technology demonstrated its potential to provide lip tracking without the need for physical sensors, but whether such technology can provide submillimeter precision and accuracy in 3D remains unknown. Moreover, it is also unclear whether such technology can be applied to track speech movements in young children. Here, we developed a novel approa

SUBMITTER: Lovell A 

PROVIDER: S-EPMC11844461 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature