Assessing the severity level of dysarthria can provide an insight into the patient's
improvement, assist pathologists to plan therapy, and aid automatic dysarthric speech …

Dysarthria is a motor speech disorder and the most common neurodegenerative disease
characterized by low volume in precise articulation, poor coordination of respiratory and …

Recently, we have witnessed Deep Learning methodologies gaining significant attention for
severity-based classification of dysarthric speech. Detecting dysarthria, quantifying its …

Speech intelligibility can be degraded due to multiple factors, such as noisy environments,
technical difficulties or biological conditions. This work is focused on the development of an …

Dysarthria is a neuro-motor speech disorder that renders speech unintelligible, in
proportional to its severity. Assessing the severity level of dysarthria, apart from being a …

This paper investigates the ability of deep neural networks (DNNs) to improve the automatic
recognition of dysarthric speech through the use of convolutional neural networks (CNNs) …

The paper developing a resilient speech classification system for individuals with voice
disorders poses a formidable challenge due to the significant variability and distortions …

This study aims to develop an automated speaker verification (ASV) system for individuals
with dysarthria, a speech disorder affecting their ability to articulate words correctly. The ASV …

Realizing accurate recognition of Chinese and English information is a major difficulty in
English feature recognition. Based on this difficulty, this paper studies the English feature …

A communication disorder is an impairment of a person's ability to talk or communicate
appropriately. Dysarthria is a common neuro-motor speech communication disorder that can …