For several decades now, there has been sporadic interest in automatically characterizing
the speech impairment due to Parkinson's disease (PD). Most early studies were confined to …

Introduction Automatic assessment of speech impairment is a cutting edge topic in
Parkinson's disease (PD). Language disorders are known to occur several years earlier than …

Chronic neurological diseases progress over time, and among these illnesses, Parkinson's
Disease (PD) is the most prevalent. PD causes a major issue affecting people's daily …

Parkinson's disease (PD) is a neurodegenerative disorder where early diagnosis is crucial
for effective management. This study explores the potential of voice-based biomarkers …

Parkinson's disease (PD) is a neurodegenerative disorder characterized by a range of motor
and non-motor symptoms. One of the notable non-motor symptoms of PD is the presence of …

More than 90% of patients with Parkinson's disease suffer from hypokinetic dysarthria. This
paper proposes a novel end-to-end deep learning model for Parkinson's disease detection …

One of the symptoms observed in the early stages of Parkinson's Disease (PD) is speech
impairment. Speech disorders can be used to detect this disease before it degenerates. This …

Parkinson's disease is an autoimmune disorder characterized by the death of neurons in the
brain that synthesize dopamine, which results in a broad spectrum of symptoms. Among …

Parkinson's disease (PD) is a neurodegenerative disorder that negatively affects millions of
people. Early detection is of vital importance. As recent researches showed dysarthria level …

Detecting Parkinson's disease (PD) based on voice analysis is meaningful due to its non-
invasion and convenience. Traditional features adopted for PD detection are often hand …