Dysarthria is a disorder that affects an individual's speech intelligibility due to the paralysis of
muscles and organs involved in the articulation process. As the condition is often associated …

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 …

This work explores the use of constant-Q transform based modulation spectral features (CQT-
MSF) for speech emotion recognition (SER). The human perception and analysis of sound …

Dysarthria is a motor speech disability caused by weak muscles and organs involved in the
articulation process, thereby affecting the speech intelligibility of individuals. Because this …

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 …

Many acoustic features and machine learning models have been studied to build automatic
detection systems to distinguish dysarthric speech from healthy speech. These systems can …

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

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