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

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

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

Wilson's disease (WD) is a neurodegenerative genetic disorder in which dysarthria is the
initial neurological symptom. Automated WD diagnosis from speech is thus a promising and …

There are several current studies including various methods for treating dysarthria in various
developing countries. Research-based dysarthria treatments take a multidisciplinary …

This paper presents a novel approach for automated dysarthria detection and severity
assessment using a variable short-time Fourier transform layered convolutional neural …

This paper proposes an improved Goodness of Pronunciation (GoP) that utilizes Uncertainty
Quantification (UQ) for automatic speech intelligibility assessment for dysarthric speech …

In this paper, we explore the effectiveness of deploying the raw phase and magnitude
spectra for dysarthric speech recognition, detection and classification. In particular, we …

Dysarthria is a speech disorder that hinders communication due to difficulties in articulating
words. Detection of dysarthria is important for several reasons as it can be used to develop a …

Dysarthria is a speech disorder that affects the ability to communicate due to articulation
difficulties. This research proposes a novel method for automatic dysarthria detection (ADD) …