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Automatic Classification of Hypokinetic and Hyperkinetic Dysarthria based on GMM-Supervectors

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F23%3A00368520" target="_blank" >RIV/68407700:21230/23:00368520 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.21437/Interspeech.2023-2146" target="_blank" >https://doi.org/10.21437/Interspeech.2023-2146</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.21437/Interspeech.2023-2146" target="_blank" >10.21437/Interspeech.2023-2146</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Automatic Classification of Hypokinetic and Hyperkinetic Dysarthria based on GMM-Supervectors

  • Original language description

    Hypokinetic and hyperkinetic dysarthria are motor speech disorders that appear in patients with Parkinson's and Huntington's disease, respectively. They are caused due to progressive lesions or alterations in the basal ganglia. In particular, Huntington's disease (HD) is known to be more invasive and difficult to treat than Parkinson's disease (PD), producing more aggressive motor and cognitive alterations. Since speech production requires the movement and control of many different muscles and limbs, it constitutes a highly complex motor activity that may reflect relevant aspects of the patient's health state. This paper proposes the discrimination between patients with PD, HD, and healthy controls (HC) based on different speech dimensions. Speaker models based on Gaussian-mixture model supervectors are created with the features extracted from each speech dimension. The results suggest that it is possible to distinguish between PD and HD patients using the supervectors-based approach.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20601 - Medical engineering

Result continuities

  • Project

    <a href="/en/project/LX22NPO5107" target="_blank" >LX22NPO5107: National institute for Neurological Research</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2023

  • ISBN

  • ISSN

    2308-457X

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    2368-2372

  • Publisher name

    ISCA - International Speech Communication Association

  • Place of publication

    Bochum

  • Event location

    Dublin

  • Event date

    Aug 21, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article