Despite the rapid progress of automatic speech recognition (ASR) technologies in the past
few decades, recognition of disordered speech remains a highly challenging task to date …

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 …

Most state-of-the-art speech systems use deep neural networks (DNNs). These systems
require a large amount of data to be learned. Hence, training state-of-the-art frameworks on …

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 …

Disordered speech recognition is a highly challenging task. The underlying neuro-motor
conditions of people with speech disorders, often compounded with co-occurring physical …

Automatic recognition of disordered speech remains a highly challenging task to date. The
underlying neuro-motor conditions, often compounded with co-occurring physical …

Automatic methods for the detection of pathological voice from healthy speech can be
considered as potential clinical tools for medical treatment. This study investigates the …

State-of-the-art automatic speech recognition (ASR) systems perform well on healthy
speech. However, the performance on impaired speech still remains an issue. The current …

Dysarthria is a motor speech disorder often characterized by reduced speech intelligibility
through slow, uncoordinated control of speech production muscles. Automatic Speech …

Dysarthria is a condition where people experience a reduction in speech intelligibility due to
a neuromotor disorder. Previous works in dysarthric speech recognition have focused on …