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, a speech disorder stemming from neurological conditions, affects communication
and life quality. Precise classification and severity assessment are pivotal for therapy but are …

Automated dysarthria severity identification can aid clinicians in monitoring the patient's
progress, and can improve the performance of dysarthric speech recognition systems. In this …

Identifying the severity of dysarthria is considered a diagnostic step in monitoring the
patient's progress and a beneficial step in the transcription of dysarthric speech. In this …

Dysarthria is a neurological speech disorder that can significantly impact affected
individuals' communication abilities and overall quality of life. The accurate and objective …

The automatic speech recognition (ASR) system is increasingly being applied as assistive
technology in the speech impaired community, for individuals with physical disabilities such …

Automatic detection and severity level classification of dysarthria from speech enables non-
invasive and effective diagnosis that helps clinical decisions about medication and therapy …

Recent advances in deep learning have provided an opportunity to improve and automate
dysarthria intelligibility assessment, offering a cost-effective, accessible, and less subjective …

Poor coordination of the speech production subsystems due to any neurological injury or a
neuro-degenerative disease leads to dysarthria, a neuro-motor speech disorder. Dysarthric …

Dysarthria is a speech disorder caused by improper coordination between the brain and the
muscles that produce intelligible speech. Accurately diagnosing the severity of dysarthria is …