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 …

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

People with dysarthric speech face problems communicating with others and voice-based
smart devices. This paper presents the development of a spatial residual convolutional …

The automatic speech recognition (ASR) system is increasingly being applied as assistive
technology in the speech impaired community, for individuals with physical disabilities such …

In this study, we investigated the use of artificial neural networks (ANNs) to recognize
dysarthric speech. Two multilayer neural networks were developed, trained, and tested …

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) …

Generally, those patients with dysarthria utter a distorted sound and the restrained
intelligibility of a speech for both human and machine. To enhance the intelligibility of …

Dysarthria is a neurological impairment of controlling the motor speech articulators that
compromises the speech signal. Automatic Speech Recognition (ASR) can be very helpful …

Dysarthria is a form of speech disability resulting from neurological damage to the motor
component of motor-speech system of the brain. It results in lack of control over the muscles …

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