Ashwini D. Bhople

Subject-Independent Parkinson’s Disease Detection Using Acoustic and Nonlinear Speech Features: A Robust Evaluation of Machine-Learning Classifiers

Early detection of Parkinson’s disease can facilitate timely intervention. Speech is a noninvasive and cost-effective biomarker for Parkinson’s disease detection. In this study, a subject-independent speech-based pipeline was developed using acoustic and nonlinear speech features. To avoid subject-level information lea...