Voice-Based SVM Model Reliability for Identifying Parkinson’s Disease
Nemuel D. Pah,
Veronica Indrawati,
Dinesh K. Kumar
Abstract:One of the possibilities for developing non-invasive computerized diagnostic tools for Parkinson's disease (PD) is to detect changes in the voice, known as Parkinsonian dysarthria. Numerous classification models have been developed to diagnose PD based on voice features. However, the performance of models developed and trained only using voice features extracted from people with PD and healthy people might be affected when tested on individuals with other voice-related pathological conditions. Therefore, we in… Show more
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