Automatic detection of Parkinson's disease in running speech spoken in three different languages.

A method for the characterization of the speech signals, based on the automatic segmentation of utterances into voiced and unvoiced frames, is addressed here and proves to be more accurate than classical approaches in the automatic classification of speech of people with PD and healthy controls.