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@article{1367386, author = {Galaz, Zoltan and Mekyska, Jiri and Mzourek, Zdenek and Smekal, Zdenek and Rektorová, Irena and Eliášová, Ilona and Košťálová, Milena and Mračková, Martina and Beránková, Dagmar}, article_location = {Clare}, article_number = {APR}, doi = {http://dx.doi.org/10.1016/j.cmpb.2015.12.011}, keywords = {Parkinson's disease; Hypokinetic dysarthria; Feature selection; Random forests; Dysprosody}, language = {eng}, issn = {0169-2607}, journal = {Computer Methods and Programs in Biomedicine}, title = {Prosodic analysis of neutral, stress-modified and rhymed speech in patients with Parkinson's disease}, volume = {127}, year = {2016} }
TY - JOUR ID - 1367386 AU - Galaz, Zoltan - Mekyska, Jiri - Mzourek, Zdenek - Smekal, Zdenek - Rektorová, Irena - Eliášová, Ilona - Košťálová, Milena - Mračková, Martina - Beránková, Dagmar PY - 2016 TI - Prosodic analysis of neutral, stress-modified and rhymed speech in patients with Parkinson's disease JF - Computer Methods and Programs in Biomedicine VL - 127 IS - APR SP - 301-317 EP - 301-317 PB - Elsevier Ireland Ltd. SN - 01692607 KW - Parkinson's disease KW - Hypokinetic dysarthria KW - Feature selection KW - Random forests KW - Dysprosody N2 - 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 concept of permutation test applied in the field of acoustic analysis of dysarthric speech. Results: Prosodic features obtained from stress-modified reading task provided higher classification accuracies compared to the ones extracted from reading task with neutral emotion demonstrating the importance of stress in speech prosody. Features calculated from poem recitation task outperformed both reading tasks in the case of gender-undifferentiated analysis showing that rhythmical demands can in general lead to more precise identification of HD. Additionally, some gender-related patterns of dysprosody has been observed. Conclusions: This paper confirms reduced variation of fundamental frequency in PD patients with HD. Interestingly, increased variability of speech intensity compared to healthy speakers has been detected. Regarding speech rate disturbances, our results does not report any particular pattern. We conclude further development of prosodic features quantifying the relationship between monopitch, monoloudness and speech rate disruptions in HD can have a great potential in future PD analysis. ER -
GALAZ, Zoltan, Jiri MEKYSKA, Zdenek MZOUREK, Zdenek SMEKAL, Irena REKTOROVÁ, Ilona ELIÁŠOVÁ, Milena KOŠŤÁLOVÁ, Martina MRAČKOVÁ and Dagmar BERÁNKOVÁ. Prosodic analysis of neutral, stress-modified and rhymed speech in patients with Parkinson's disease. \textit{Computer Methods and Programs in Biomedicine}. Clare: Elsevier Ireland Ltd., 2016, vol.~127, APR, p.~301-317. ISSN~0169-2607. Available from: https://dx.doi.org/10.1016/j.cmpb.2015.12.011.
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