Detail publikace

IDENTIFICATION OF PARKINSON’S DISEASE USING ACOUSTIC ANALYSIS OF POEM RECITATION

MUCHA, J.

Originální název

IDENTIFICATION OF PARKINSON’S DISEASE USING ACOUSTIC ANALYSIS OF POEM RECITATION

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Parkinson’s disease (PD) is the second most frequent neurodegenerative disorder. It is estimated that 60–90% of PD patients suffer from speech disorder called hypokinetic dysarthria (HD). The goal of this work is to reveal influence of poem recitation on acoustic analysis of speech and propose concept of Parkinson’s disease identification based on this analysis. Classification methods used in this work are Random Forests and Support Vector Machine. The best achieved accuracy of disease identification is 70.66% with 59.25% sensitivity for Random Forests classifier fed mainly with articulation features. These results demonstrate a high potential of research in this area.

Klíčová slova

poem recitation, acoustic analysis, binary classification, Parkinson’s disease, hypokinetic dysarthria

Autoři

MUCHA, J.

Vydáno

27. 4. 2017

Místo

Brno

ISBN

978-80-214-5496-5

Kniha

Proceedings of the 23nd Conference STUDENT EEICT 2017

Strany od

619

Strany do

623

Strany počet

5

BibTex

@inproceedings{BUT135620,
  author="Ján {Mucha}",
  title="IDENTIFICATION OF PARKINSON’S DISEASE USING ACOUSTIC ANALYSIS OF POEM RECITATION",
  booktitle="Proceedings of the 23nd Conference STUDENT EEICT 2017",
  year="2017",
  pages="619--623",
  address="Brno",
  isbn="978-80-214-5496-5"
}