Parkinson's disease (PD) classification through speech has been an advancing field of
research because of its ease of acquisition and processing. The minimal infrastructure …

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 …

Parkinson's disease (PD) affects a large proportion of elderly people. Symptoms include
tremors, slow movement, rigid muscles, and trouble speaking. With the aging of the …

Parkinson's disease (PD) affects both source and vocal tract components of speech. Various
speech cues explored in literature for automatic classification of individuals with PD and …

Materials and Methods We utilized a dataset of 195 voice samples with 23 attributes,
applying machine learning algorithms such as Linear Discriminant Analysis (LDA), Support …

The need for reliable, scalable and efficient diagnosis of Parkinson's Disease (PD) is a
major clinical need. Automating the diagnosis can lead to more accurate and objective …

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 …

Researchers have been using signal processing based methods to assess speech from
Parkinson's disease (PD) patients and identify the contrasting features in comparison to …

Parkinson's Disease (PD) is a progressive neurodegenerative disease with multiple motor
and non-motor characteristics. PD patients commonly face vocal impairments during the …

Introduction The analysis of vocal samples from patients with Parkinson's disease (PDP) can
be relevant in supporting early diagnosis and disease monitoring. Intriguingly, speech …