Classifying dysarthria using neural networks is challenging due to several factors inherent to
the nature of dysarthria, the complexity of speech signals, and the requirements of effective …

Dysarthria is a motor speech disorder that affects the muscles of the vocal tract system, vocal
folds, and renders the speech of the patient unintelligible in many situations. Dysarthria has …

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 …

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

Dysarthria is a speech disorder caused by weak or poorly coordinated speech-related
muscles. Dysarthria can be caused by various factors such as stroke, multiple sclerosis, or …

Dysarthria is a motor speech disorder that results from malfunctions in the mechanisms and
systems which regulate the movements required for speech production. It is challenging to …

Dysarthria is a motor speech disorder that results from disruptions in the neuro-motor
interface and is characterised by poor articulation of phonemes and hyper-nasality and is …

Dysarthria is a motor speech disorder that results in speech difficulties due to the weakness
of associated muscles. This unclear speech makes it difficult for dysarthric patients to …

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

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 …