Detection of Alzheimer's through Acoustic and Semantic Markers
Our project aims to identify acoustic and semantic markers from the speech of Alzheimer’s patients to detect the disease and estimate MMSE scores using machine learning models. This approach offers a scalable and cost-effective method for early diagnosis.