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dc.contributor.authorGaláž, Zoltán
dc.date.accessioned2018-07-10T12:48:19Z
dc.date.available2018-07-10T12:48:19Z
dc.date.issued2016cs
dc.identifier.citationProceedings of the 22nd Conference STUDENT EEICT 2016. s. 538-542. ISBN 978-80-214-5350-0cs
dc.identifier.isbn978-80-214-5350-0
dc.identifier.urihttp://hdl.handle.net/11012/83991
dc.description.abstractThis paper deals with quantitative analysis of prosodic impairment in idiopathic Parkinson’s disease (PD). Experimental dataset consisted of 97 PD patients and 55 healthy speakers. The prosodic features expressing monopitch, monoloudness and speech rate deficits are extracted from stress-modified reading task. Classification accuracies of 70:71% for females, 70:03% for males, and 63:20% for a mixture of both gender were achieved. According to permutation test (1000 permutations, a = 0:01), the models were shown statistically significant. Promising potential of prosodic features to identify HD was confirmed.en
dc.formattextcs
dc.format.extent538-542cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings of the 22nd Conference STUDENT EEICT 2016en
dc.relation.urihttp://www.feec.vutbr.cz/EEICT/cs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.subjectParkinson’s diseaseen
dc.subjecthypokinetic dysarthriaen
dc.subjectdysprosodyen
dc.subjectspeech processingen
dc.titleQuantification of Prosodic Impairment in Patients with Idiopathic Parkinson's Diseaseen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
but.event.date28.04.2016cs
but.event.titleStudent EEICT 2016cs
dc.rights.accessopenAccessen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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