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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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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
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e-ISSN
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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