Inter-speaker speech variability assessment using statistical deformable models from 3.0 tesla magnetic resonance images.

The morphological and dynamic characterisation of the vocal tract during speech production has been gaining greater attention due to the motivation of the latest improvements in magnetic resonance (MR) imaging; namely, with the use of higher magnetic fields, such as 3.0 Tesla. In this work, the automatic study of the vocal tract from 3.

Towards the automatic study of the vocal tract from magnetic resonance images.

Over the last few decades, researchers have been investigating the mechanisms involved in speech production. Image analysis can be a valuable aid in the understanding of the morphology of the vocal tract. The application of magnetic resonance imaging to study these mechanisms has been proven to be reliable and safe.

Toward dynamic magnetic resonance imaging of the vocal tract during speech production.

Objectives/hypothesis: The most recent and significant magnetic resonance imaging (MRI) improvements allow for the visualization of the vocal tract during speech production, which has been revealed to be a powerful tool in dynamic speech research. However, a synchronization technique with enhanced temporal resolution is still required.

Study Design And Methods: The study design was transversal in nature.