Dysarthria is a motor speech impairment, often characterized by slow and slurred speech
that is generally incomprehensible by human listeners. An understanding of the intelligibility …

Individuals with dysarthria are unable to control rapid movement of the velum leading to
reduction in intelligibility, audibility, naturalness and efficiency of vocal communication …

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

In the literature, the task of dysarthric speech intelligibility assessment has been approached
through development of different low-level feature representations, subspace modeling …

Improved performance in speech applications using deep neural networks (DNNs) has
come at the expense of reduced model interpretability. For consumer applications this is not …

Improving the accuracy of dysarthric speech recognition is a challenging research field due
to the high inter-and intra-speaker variability in disordered speech. In this work, we propose …

In clinical practice, assessment of intelligibility in speakers with dysarthria is performed by
speech-language pathologists through auditory perceptual tests which demand patients' …

Pathological speech usually refers to the condition of speech distortion resulting from
atypicalities in voice and/or in the articulatory mechanisms owing to disease, illness or other …

With the rise of deep learning, spoken language understanding (SLU) for command-and-
control applications such as a voice-controlled virtual assistant can offer reliable hands-free …

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 …