Acoustic Analysis of Sentences Complicated for Articulation in Patients with Parkinson's Disease
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This paper deals with acoustic analysis of hypokinetic dysarthria. Hypokinetic dysarthria is a speech motor dysfunction that is present in approximately 90% of patients with Parkinson’s disease (PD). The work is mainly focused on parameterization techniques that can be used to diagnose or monitor this disease as well as estimate its progress. Acoustic analysis can be used to estimate a grade of hypokinetic dysarthria in fields of phonation, articulation, prosody and speech fluency. Regarding the parameterization, new features based on RASTA method were proposed. The analysis is based on parametrization of sentences complicated for articulation. Experimental dataset consists of 101 PD patients with different disease progress and 53 healthy controls. For the purpose of feature selection we employed mRMR (minimum Redundancy Maximum Relevance) method.
KeywordsParkinson’s disease, hypokinetic dysarthria, speech parameterization, speech signal processing, objective analysis, diagnosis, monitoring, progress estimation
Document typePeer reviewed
Document versionFinal PDF
SourceProceedings of the 22nd Conference STUDENT EEICT 2016. s. 518-522. ISBN 978-80-214-5350-0
- Student EEICT 2016