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

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

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

State-of-the-art automatic speech recognition (ASR) engines perform well on healthy
speech; however recent studies show that their performance on dysarthric speech is highly …

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 …

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

Neurological disorders include various conditions affecting the brain, spinal cord, and
nervous system which results in reduced performance in different organs and muscles …

Automatic speech recognition (ASR) is becoming an important assistive tool among the
speech impaired individuals such as dysarthria. Currently, the existing ASR systems were …

This paper describes IDEA a database of Italian dysarthric speech produced by 45 speakers
affected by 8 different pathologies. Neurologic diagnoses were collected from the subjects' …

Dysarthria is a neuro-motor speech disorder that renders speech unintelligible, in
proportional to its severity. Assessing the severity level of dysarthria, apart from being a …