Preliminary Acoustic Analysis of Noise Components in Patients with Parkinson's Disease
Alternative metrics PlumXhttp://hdl.handle.net/11012/43046
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This paper deals with acoustic analysis of noise components extracted from speech signals of patients with Parkinson’s disease (PD) who recited a poem. Experimental dataset consisted of 97 PD patients with different disease progress and 55 healthy controls (HC). The analysis is based on parametrization of 2 rhymes recitation using dysphonia features. We obtained classification accuracy 76.66% for female speakers, 69.65% for male speakers and 69.24% for the mixture of both genders.
Document typePeer reviewed
Document versionFinal PDF
SourceProceedings of the 21st Conference STUDENT EEICT 2015. s. 476-480. ISBN 978-80-214-5148-3
- Student EEICT 2015