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 …

Parkinson's disease (PD) is the second most common neurodegenerative disorder of mid-to-
late life after Alzheimer's disease. During the progression of the disease, most individuals …

Parkinson's Disease (PD) is a neurodegenerative disease that primarily manifests through
cognitive, motor and speech disorders. But it has been proven that voice changes in …

Parkinson's Disease (PD) is a neurodegenerative condition that affects the motor
capabilities of individuals. Early detection can potentially contribute to slow its progression in …

Abstract Background and Objective: Parkinson's Disease (PD) is a neurodegenerative
movement disorder caused by the progressive loss of dopamine. Approximately 90% of PD …

Human speech production is a complex task that demands synchronized cognitive and
muscular functioning. Assessment of a Parkinson's disease (PD) patient's speech using …

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 …

Deep convolutional neural networks (CNN) have provided remarkable results in speech
processing tasks. However, they require a large amount of training data to prevent …

The computerized detection of Parkinson's disease (PD) will facilitate population screening
and frequent monitoring and provide a more objective measure of symptoms, benefiting both …

This study investigates the processing of voice signals for detecting Parkinson's disease.
This disease is one of the neurological disorders that affect people in the world most. The …