Algorithm to Distinguish between Articulatory Disorder, Depression and Parkinson's Disease by Voice

Abstract

This study includes developing an algorithm to estimate a disease condition based on speech. First, we recorded the speech including the reading of short sentences by healthy subjects, major depression patients, and patients suffering from Parkinson's disease in a hospital consultation room. Next, the acoustic feature quantity was calculated based on the speech, and an algorithm for classifying healthy subjects and patients was developed. This algorithm was evaluated using the disordered voice database, containing information related to several articulatory disorders. Results indicated that the algorithm performed fairly well in classifying healthy subjects and patients, which suggested the usefulness of the classification algorithm in estimating disease conditions based on speech.