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VYAS, G. DUTTA, M. PŘINOSIL, J. HARÁR, P.
Originální název
An Automatic Diagnosis and Assessment of Dysarthric Speech using Speech Disorder Specific Prosodic Features
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
Dysarthria speech; diagnosis; assessment; speech disorder; prosodic features; support vector machines
Autoři
VYAS, G.; DUTTA, M.; PŘINOSIL, J.; HARÁR, P.
Vydáno
27. 6. 2016
Místo
Vienna, Austria
ISBN
978-1-5090-1287-9
Kniha
2016 39th International Conference on Telecommunications and Signal Processing (TSP)
Strany od
515
Strany do
518
Strany počet
4
URL
https://ieeexplore.ieee.org/document/7760933
BibTex
@inproceedings{BUT127569, author="Garima {Vyas} and Malay Kishore {Dutta} and Jiří {Přinosil} and Pavol {Harár}", title="An Automatic Diagnosis and Assessment of Dysarthric Speech using Speech Disorder Specific Prosodic Features", booktitle="2016 39th International Conference on Telecommunications and Signal Processing (TSP)", year="2016", pages="515--518", address="Vienna, Austria", doi="10.1109/TSP.2016.7760933", isbn="978-1-5090-1287-9", url="https://ieeexplore.ieee.org/document/7760933" }