Dysarthria is a motor speech disorder that impacts verbal articulation and co-ordination,
resulting in slow, slurred and imprecise speech. Automated classification of dysarthria …

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 …

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 …

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

Speech classifiers of paralinguistic traits traditionally learn from diverse hand-crafted low-
level features, by selecting the relevant information for the task at hand. We explore an …

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

Dysarthria is a medical condition that impairs an individual's ability to speak clearly due to
muscle weakness or paralysis. To diagnose and monitor dysarthria severity, this article …

Purpose Behavioral speech modifications have variable effects on the intelligibility of
speakers with dysarthria. In the companion article, a significant relationship was found …