Non-diagnostic dialogue speech, after concatenation and demographic balancing, can perform nearly as well as diagnostic-task speech for Parkinson's disease classification, though validation leakage clouds the result.
Classification Model We utilized a machine learning classification approach, as motivated by recent advances [6, 7, 23], to explore the potential of PD diagnosis using TT
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Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers
Non-diagnostic dialogue speech, after concatenation and demographic balancing, can perform nearly as well as diagnostic-task speech for Parkinson's disease classification, though validation leakage clouds the result.