Diagnosis of Parkinson's disease (PD) is commonly based on medical observations and
assessment of clinical signs, including the characterization of a variety of motor symptoms …

Artificial Intelligence (AI) is the domain of computer science that focuses on the development
of machines that operate like humans. In the field of AI, medical disease detection is an …

The human voice production system is an intricate biological device capable of modulating
pitch and loudness. Inherent internal and/or external factors often damage the vocal folds …

Parkinson's Disease (PD) is a prevalent neurodegenerative disorder with significant clinical
implications. Early and accurate diagnosis of PD is crucial for timely intervention and …

In the last decade, the implementation of machine learning algorithms in the analysis of
voice disorder is paramount in order to provide a non-invasive voice pathology detection by …

Diseases of internal organs other than the vocal folds can also affect a person's voice. As a
result, voice problems are on the rise, even though they are frequently overlooked …

In voice pathology detection system, machine learning algorithms play an important role in
the classification process. Most of the developed systems in voice pathology detection used …

Parkinson's disease (PD) is a chronic neurological condition that is growing in prevalence
and manifests both motor and non-motor symptoms. Most PD patients have trouble …

Various speech processing approaches (eg, acoustic feature extraction techniques) and
Machine Learning (ML) algorithms have been applied to diagnosing Parkinson's disease …

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 …