Identifying the gender of a person and his age by way of speaking is considered a crucial
task in computer vision. It is a very important and active research topic with many areas of …

Developing automatic methods to detect Parkinson's disease (PD) from speech has
attracted increasing interest as these techniques can potentially be used in telemonitoring …

Speech production can be regarded as a process where a time-varying vocal tract system
(filter) is excited by a time-varying excitation. In addition to its linguistic message, the speech …

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

Automatic assessment of dysarthric speech is essential for sustained treatments and
rehabilitation. However, obtaining atypical speech is challenging, often leading to data …

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 …

Purpose Speech disorders profoundly impact the overall quality of life by impeding social
operations and hindering effective communication. This study addresses the gap in …

The intelligibility assessment of dysarthric speech is essential for planning therapy. Time-
frequency representations have been used for automatic intelligibility assessment of …

The common difficulty of speech recognition is articulation deficiency produced by an
athetoid, which is a kind of cerebral palsy. In this paper, the effectual dysarthria speech …