J 2016

Prosodic analysis of neutral, stress-modified and rhymed speech in patients with Parkinson's disease

GALAZ, Zoltan, Jiri MEKYSKA, Zdenek MZOUREK, Zdenek SMEKAL, Irena REKTOROVÁ et. al.

Základní údaje

Originální název

Prosodic analysis of neutral, stress-modified and rhymed speech in patients with Parkinson's disease

Autoři

GALAZ, Zoltan (203 Česká republika), Jiri MEKYSKA (203 Česká republika), Zdenek MZOUREK (203 Česká republika), Zdenek SMEKAL (203 Česká republika), Irena REKTOROVÁ (203 Česká republika, garant, domácí), Ilona ELIÁŠOVÁ (203 Česká republika, domácí), Milena KOŠŤÁLOVÁ (203 Česká republika, domácí), Martina MRAČKOVÁ (203 Česká republika, domácí) a Dagmar BERÁNKOVÁ (203 Česká republika, domácí)

Vydání

Computer Methods and Programs in Biomedicine, Clare, Elsevier Ireland Ltd. 2016, 0169-2607

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30000 3. Medical and Health Sciences

Stát vydavatele

Irsko

Utajení

není předmětem státního či obchodního tajemství

Impakt faktor

Impact factor: 2.503

Kód RIV

RIV/00216224:14110/16:00092800

Organizační jednotka

Lékařská fakulta

UT WoS

000372521500025

Klíčová slova anglicky

Parkinson's disease; Hypokinetic dysarthria; Feature selection; Random forests; Dysprosody

Štítky

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 11. 1. 2017 10:44, Ing. Mgr. Věra Pospíšilíková

Anotace

V originále

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.

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