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An Automatic Diagnosis and Assessment of Dysarthric Speech using Speech Disorder Specific Prosodic Features

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU120009" target="_blank" >RIV/00216305:26220/16:PU120009 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/7760933" target="_blank" >https://ieeexplore.ieee.org/document/7760933</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/TSP.2016.7760933" target="_blank" >10.1109/TSP.2016.7760933</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    An Automatic Diagnosis and Assessment of Dysarthric Speech using Speech Disorder Specific Prosodic Features

  • Original language description

    To diagnose and classify the dysarthria speech, speech language pathologist (SLP) conduct a listening test. On the basis of the scores given by listeners the dysarthria is diagnosed and assessed. The above mentioned method is costly, time consuming and not very accurate. Unlike the traditional method, this research proposes an automatic diagnosis and assessment of dysarthria. The aim of this paper is to diagnose and classify the severity of dysarthria. The speech disorder specific prosodic features are selected by using genetic algorithm. The diagnosis and assessment of dysarthria speech is done by support vector machines. During diagnosis the classification accuracy of 98% has been achieved. And 87% of the dysarthria speech utterances are correctly classified. The standard UASPEECH database has been used in this work.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

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

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2016 39th International Conference on Telecommunications and Signal Processing (TSP)

  • ISBN

    978-1-5090-1287-9

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    515-518

  • Publisher name

    Neuveden

  • Place of publication

    Vienna, Austria

  • Event location

    Vídeň

  • Event date

    Jun 27, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000390164000112