Institute of Informatics
Automatic detection of Alzheimer’s disease by patient speech analysis
Name of the supervisor
Ing. Milan Rusko, PhD.
Faculty of Mathematics, Physics and Informatics, Comenius Uni in Bratislava
The object of this work is to design and implement a system for automatic detection of symptoms of Alzheimer’s disease via automatic analysis of patient’s speech. The student will review the state-of-the-art in this non-invasive screening and diagnostic method in the world. He will analyze the approaches that are using acoustic and linguistic characteristics as well as machine learning techniques. In the practical part he will design, implement and evaluate a program for automatic detection of Alzheimer’s disease by analyzing the patient’s speech.