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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F16%3A00066179" target="_blank" >RIV/00159816:_____/16:00066179 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216224:14110/16:00092800 RIV/00216305:26220/16:PU117477 RIV/65269705:_____/16:00066179

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.cmpb.2015.12.011" target="_blank" >http://dx.doi.org/10.1016/j.cmpb.2015.12.011</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.cmpb.2015.12.011" target="_blank" >10.1016/j.cmpb.2015.12.011</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language 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 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 (...)

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    FH - Neurology, neuro-surgery, nuero-sciences

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Computer Methods and Programs in Biomedicine

  • ISSN

    0169-2607

  • e-ISSN

  • Volume of the periodical

    127

  • Issue of the periodical within the volume

    April 2016

  • Country of publishing house

    IE - IRELAND

  • Number of pages

    17

  • Pages from-to

    301-317

  • UT code for WoS article

    000372521500025

  • EID of the result in the Scopus database