The preliminary diagnosis and evaluation of the presence and/or severity of Parkinson's
disease is crucial in controlling the progress of the disease. Real-time, non-invasive …

Parkinson's Disease (PD) is one of the most common non-curable neurodegenerative
diseases. Diagnosis is achieved clinically on the basis of different symptoms with …

Voice technology has grown tremendously in recent years and using voice as a biomarker
has also been gaining evidence. We demonstrate the potential of voice in serving as a deep …

Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor and non-
motor symptoms that significantly impact an individual's quality of life. Voice changes have …

Quantifying neurological disorders from voice is a rapidly growing field of research and
holds promise for unobtrusive and large-scale disorder monitoring. The data recording setup …

Parkinson's Disease (PD) affects speech in the form of dysphonia and hypokinetic
dysarthria. Multiple studies have evaluated PD's influence on different aspects of speech …

Background: Parkinson's disease (PD) is the most common destructive neurological
disorder after Alzheimer's disease. Unfortunately, there is no specific test such as …

Abstract Machine learning approaches have been used for the automatic detection of
Parkinson's disease with voice recordings being the most used data type due to the simple …

Voice acoustic analysis can be a valuable and objective tool supporting the diagnosis of
many neurodegenerative diseases, especially in times of distant medical examination …

In this work, a voice-based analysis is conducted with the contribution of providing
physicians with a decision tool along with framing information to help them see functional …