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 …

Deep learning-based techniques for automatic dysarthric speech detection have recently
attracted interest in the research community. State-of-the-art techniques typically learn …

Automatic dysarthric speech detection can provide reliable and cost-effective computer-
aided tools to assist the clinical diagnosis and management of dysarthria. In this paper we …

A major challenge involved in automatic dysarthria severity classification for patients with
Amyotrophic Lateral Sclerosis (ALS) is the difficulty to build a speech corpus which is large …

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 …

Abstract ALS (Amyotrophic Lateral Sclerosis) is a neurodegenerative disorder causing
profound physical disability that severely impairs a patient's life expectancy and quality of …

Abstract Dysarthria due to Amyotrophic Lateral Sclerosis (ALS) progressively distorts the
acoustic space affecting the discriminability of different vowels and fricatives. However, the …

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

Asthma is one of the most prevalent respiratory disorders, which can be identified by
different modalities such as speech, wheezing of lung sounds (LSs), spirometric measures …

Dysarthria due to Amyotrophic Lateral Sclerosis (ALS) and Parkinson's Disease (PD)
impairs sustained phoneme productions. Vowels and fricatives get affected differently owing …