Authors
Zoltan Galaz, Jiri Mekyska, Zdenek Mzourek, Zdenek Smekal, Irena Rektorova, Ilona Eliasova, Milena Kostalova, Martina Mrackova, Dagmar Berankova
Publication date
2016/4/1
Journal
Computer methods and programs in biomedicine
Volume
127
Pages
301-317
Publisher
Elsevier
Description
Background and objective
Hypokinetic dysarthria (HD) is a frequent speech disorder associated with idiopathic Parkinson's disease (PD). It affects all dimensions of speech production. One of the most common features of HD is dysprosody that is characterized by alterations of rhythm and speech rate, flat speech melody, and impairment of speech intensity control. Dysprosody has a detrimental impact on speech naturalness and intelligibility.
Methods
This paper deals with quantitative prosodic analysis of neutral, stress-modified and rhymed speech in patients with PD. The analysis of prosody is based on quantification of monopitch, monoloudness, and speech rate abnormalities. Experimental dataset consists of 98 patients with PD and 51 healthy speakers. For the purpose of HD identification, sequential floating feature selection algorithm and random forests classifier is used. In this paper, we also introduce a …
Scholar articles
Prosodic analysis of neutral, stress-modified and rhymed speech in patients with Parkinson's disease
Z Galaz, J Mekyska, Z Mzourek, Z Smekal, I Rektorova… - Computer methods and programs in biomedicine, 2016