Articulation Characterization in AD Speech Production

Abstract

Alzheimer’s Disease (AD) produce important clues in speech, which may be used in pathology monitoring and grading. The study is intended to model which aspects of articulation may be affected more, and to which extent. Comparing speech from AD patients versus control subjects produced in animal naming, certain characteristics may be observed, encoding fluency and formant dynamics. Kullback-Leibler Divergence from formant velocity distributions is sought to work as a possible biomarker in AD monitoring tasks.