Detection of Persons with Parkinson's Disease by Acoustic, Vocal, and Prosodic Analysis

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00190035" target="_blank" >RIV/68407700:21230/11:00190035 - isvavai.cz</a>
Result on the web
<a href="http://www.asru2011.org/" target="_blank" >http://www.asru2011.org/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ASRU.2011.6163978" target="_blank" >10.1109/ASRU.2011.6163978</a>

Result language
angličtina
Original language name
Detection of Persons with Parkinson's Disease by Acoustic, Vocal, and Prosodic Analysis
Original language description
70% to 90% of patients with Parkinson's disease (PD) show an affected voice. Various studies revealed, that voice and prosody is one of the earliest indicators of PD. The issue of this study is to automatically detect whether the speech/voice of a personis affected by PD. We employ acoustic features, prosodic features and features derived from a two-mass model of the vocal folds on different kinds of speech tests: sustained phonations, syllable repetitions, read texts and monologues. Classification isperformed in either case by SVMs. A correlation-based feature selection was performed, in order to identify the most important features for each of these systems. We report recognition results of 91% when trying to differentiate between normal speaking persons and speakers with PD in early stages with prosodic modeling. With acoustic modeling we achieved a recognition rate of 88% and with vocal modeling we achieved 79%. After feature selection these results could reatly be improved. But
Czech name
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Czech description
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Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the Automatic Speech Recognition and Understanding Workshop 2011
ISBN
978-1-4673-0367-5
ISSN
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e-ISSN
—
Number of pages
6
Pages from-to
478-483
Publisher name
IEEE Signal Processing Society
Place of publication
Piscataway
Event location
Hawaii
Event date
Dec 11, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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