Automatic Evaluation of Articulatory Disorders in Parkinson's Disease
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00218774" target="_blank" >RIV/68407700:21230/14:00218774 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6827910&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel7%2F6570655%2F6851231%2F06827910.pdf%3Farnumber%3D6827910" target="_blank" >http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6827910&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel7%2F6570655%2F6851231%2F06827910.pdf%3Farnumber%3D6827910</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TASLP.2014.2329734" target="_blank" >10.1109/TASLP.2014.2329734</a>
Alternative languages
Result language
angličtina
Original language name
Automatic Evaluation of Articulatory Disorders in Parkinson's Disease
Original language description
Although articulatory deficits represent an important manifestation of dysarthria in Parkinson?s disease (PD), the most widely used methods currently available for the automatic evaluation of speech performance are focused on the assessment of dysphonia.The aim of the present study was to design a reliable automatic approach for the precise estimation of articulatory deficits in PD. Twenty-four individuals diagnosed with de novo PD and twenty-two age-matched healthy controls were recruited. Each participant performed diadochokinetic tasks based upon the fast repetition of /pa/-/ta/-/ka/ syllables. All phonemes were manually labeled and an algorithm for their automatic detection was designed. Subsequently, 13 features describing six different articulatory aspects of speech including vowel quality, coordination of laryngeal and supralaryngeal activity, precision of consonant articulation, tongue movement, occlusion weakening, and speech timing were analyzed. In addition, a classificatio
Czech name
—
Czech description
—
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BI - Acoustics and oscillation
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/GAP102%2F12%2F2230" target="_blank" >GAP102/12/2230: Acoustic voice and speech analysis in patients with central nervous system disorders</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Transactions on Audio Speech and Language Processing
ISSN
1558-7916
e-ISSN
—
Volume of the periodical
22
Issue of the periodical within the volume
9
Country of publishing house
US - UNITED STATES
Number of pages
13
Pages from-to
1366-1378
UT code for WoS article
—
EID of the result in the Scopus database
—