Speech analyses have already been used in patients with Parkinson's disease and class prediction is an essential task in automatic speech treatment. Speech data ...

The application of the proposed method on the experimental dataset results in the achievement of the best performance for dimensionality reduction. Taken ...

Dec 27, 2017 · Speech analyses have already been used in patients with Parkinson's disease and class prediction is an essential task in automatic speech ...

Automatic Speech Analysis in Patients with Parkinson's Disease using Feature Dimension Reduction Article. Overview; Identity; View All ...

This page is a summary of: Automatic Speech Analysis in Patients with Parkinson's Disease using Feature Dimension Reduction , January 2017, ACM (Association ...

This study revealed a Pd classification system based on vocal features in order to distinguish the Pd patients from the healthy subjects.

Class prediction is an essential task in automatic speech treatment, particularly in the Parkinson's disease case. Many classification experiments have been ...

Feb 17, 2024 · ET patients using each speech dimension, their fusion, and their dimension reduction. The accuracy of the models ranged between 60–80%.

Class prediction is an essential task in automatic speech treatment, particularly in the Parkinson's disease case. Many classification experiments have been ...

May 31, 2023 · Voice disorder testing is a useful and noninvasive option for the early detection of PD since approximately 90% of PD patients have dysphonia or ...