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 …

Many acoustic features and machine learning models have been studied to build automatic
detection systems to distinguish dysarthric speech from healthy speech. These systems can …

Automatic speech-based severity level classification of Parkinson's disease (PD) enables
objective assessment and earlier diagnosis. While many studies have been conducted on …

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 …

Nowadays, the systems of voice disorder detection obtained considerable attention due to
the high importance of this field. However, the assessment of voice pathology requires …

Featured Application To “map the voice” means to collate and visualize hundreds of voice
measurements per second over a dense grid in fundamental frequency and sound level …

The availability of large amounts of data produced by brain functional activity examination is
challenging the ability of machine learning systems not only to carry on the classical tasks of …

The human voice production mechanism implements a superbly rich communication
channel that at once tells us what, who, how, and much more. This is thanks to its many …

Neurodegenerative diseases pose significant challenges in healthcare, with Amyotrophic
Lateral Sclerosis (ALS) being one such rare yet debilitating condition affecting motor …

Voice pathology detection is crucial for early diagnosis and treatment of vocal disorders.
This research studies the effect of balanced and imbalanced datasets on the accuracy of …