Development of Digital Voice Biomarkers and Associations with Cognition, CSF Biomarkers and Neural Representation in Early Alzheimer’s Disease

Introduction: Advances in natural language processing, speech recognition and machine learning allow the exploration of linguistic and acoustic changes previously difficult to measure. We developed processes for deriving lexical-semantic and acoustic measures as Alzheimer’s disease (AD) digital voice biomarkers, and evaluated the clinical sensitivity of these derived measures against neurocognitive, neuroimaging, and CSF AD biomarker data.