Automatic speech recognition (ASR) transcribes the human voice into a text automatically.
Recently, ASR systems has reached, almost, the human performance in specific scenarios …

Dysarthric speech has several pathological characteristics, such as discontinuous
pronunciation, uncontrolled volume, slow speech, explosive pronunciation, improper …

Dysarthria is a motor speech disorder that impedes the physical production of speech.
Speech in patients with dysarthria is generally characterized by poor articulation, breathy …

This paper investigates the ability of deep neural networks (DNNs) to improve the automatic
recognition of dysarthric speech through the use of convolutional neural networks (CNNs) …

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 …

Transcribing dysarthric speech into text is still a challenging problem for the state-of-the-art
techniques or commercially available speech recognition systems. Improving the accuracy …

In this paper, we investigate the recognition of speech produced by a person with an
articulation disorder resulting from athetoid cerebral palsy. The articulation of the first spoken …

Recently Automatic Speech Recognition (ASR) has been widely overblown with many
applications and assistance but orally challenged people, such as people with disordered …

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 …

In this paper, the role of speech recognition system in the assessment of dysarthric speech
based on a method called Elman back propagation network (EBN) is studied. Dysarthria is a …