Parkinson's disease (PD) corresponds to one of the most common neurological diseases in
the world, which is mainly manifested by motor, cognitive, and language disorders. The …

Although the UA-Speech and TORGO databases of control and dysarthric speech are
invaluable resources made available to the research community with the objective of …

Speech representations which are robust to pathology-unrelated cues such as speaker
identity information have been shown to be advantageous for automatic dysarthric speech …

Automatic pathological speech detection approaches yield promising results in identifying
various pathologies. These approaches are typically designed and evaluated for …

Abstract Wilson's disease (WD), a rare genetic movement disorder, is characterized by early-
onset dysarthria. Automated speech assessment is thus valuable in early diagnosis and …

In-time disease assessment is essential to better customize the medication scheme and
improve the quality of life for chronic diseases like Parkinson's disease (PD). Toward the …

Parkinson's Disease (PD) is a condition within the nervous System that limits mobility and is
typified by tremors, stiffness, imbalance issues, and vocal abnormalities. Effective …

Dysarthria due to Amyotrophic Lateral Sclerosis (ALS) affects speech production. Even the
elementary sustained vowel utterances get impaired. For these, the impairments can be in …

Parkinson's disease (PD) is a neurological disorder that often causes dyskinesia. Automatic
detection of PD has become increasingly important. Current methods of quantifying PD …

In this work, we investigate Speech Foundation Models (SFMs) for Parkinson's Disease (PD)
detection. We explore two main approaches: using SFMs as frozen feature extractors and …