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
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.