Results 1 to 10 of about 77,939 (326)
Dysarthria detection based on a deep learning model with a clinically-interpretable layer
JASA Express Letters, 2023 Studies have shown deep neural networks (DNN) as a potential tool for classifying dysarthric speakers and controls. However, representations used to train DNNs are largely not clinically interpretable, which limits clinical value.
Lingfeng Xu, J. Liss, Visar Berisha
semanticscholar +1 more source
Statistical Analysis of Speech Disorder Specific Features to Characterise Dysarthria Severity Level
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2023 Poor coordination of the speech production subsystems due to any neurological injury or a neuro-degenerative disease leads to dysarthria, a neuro-motor speech disorder.
Amlu Anna Joshy +3 more
semanticscholar +1 more source
Dysarthria Speech Detection Using Convolutional Neural Networks with Gated Recurrent Unit
Healthcare, 2022 In recent years, due to the rise in the population and aging, the prevalence of neurological diseases is also increasing year by year. Among these patients with Parkinson’s disease, stroke, cerebral palsy, and other neurological symptoms, dysarthria ...
Dong-Her Shih +4 more
semanticscholar +1 more source
Frontiers of Computer Science, 2022 Despite significant advancements in automatic speech recognition (ASR) technology, even the best performing ASR systems are inadequate for speakers with impaired speech.
Hannah P. Rowe +4 more
semanticscholar +1 more source
Interaction between people with dysarthria and speech recognition systems: A review
Assistive technology, 2022 In recent years, rapid advancements have taken place for automatic speech recognition (ASR) systems and devices. Though ASR technologies have increased, the accessibility of these novel interaction systems is underreported and may present difficulties ...
Aisha Jaddoh, F. Loizides, O. Rana
semanticscholar +1 more source
Language, Speech & Hearing Services in Schools, 2022 PURPOSE While there has been mounting research centered on the diagnosis of childhood apraxia of speech (CAS), little has focused on differentiating CAS from pediatric dysarthria.
J. Iuzzini-Seigel +2 more
semanticscholar +1 more source
Speech signal analysis and pattern recognition in diagnosis of dysarthria
Annals of Indian Academy of Neurology, 2017 Background: Dysarthria refers to a group of disorders resulting from disturbances in muscular control over the speech mechanism due to damage of central or peripheral nervous system.
Minu George Thoppil +3 more
doaj +1 more source
Non-speech oro-motor exercise use in acquired dysarthria management : regimes and rationales [PDF]
, 2011 Non-speech oro-motor exercises (NSOMExs) are described in speech and language therapy (SLT) manuals, and are thought to be much used in acquired dysarthria intervention, though there is no robust evidence of an influence on speech outcome.
Allen, Carolyn +2 more
core +1 more source
Communicative Participation in Dysarthria: Perspectives for Management
Brain Science, 2022 Communicative participation is restricted in many conditions associated with dysarthria. This position paper defines and describes the construct of communicative participation. In it, the emergence of this construct is reviewed, along with the predictors
Allyson D. Page, K. Yorkston
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Acoustic Change Over Time in Spastic and/or Flaccid Dysarthria in Motor Neuron Diseases.
Journal of Speech, Language and Hearing Research, 2022 PURPOSE This study aims to investigate acoustic change over time as biomarkers to differentiate among spastic-flaccid dysarthria associated with amyotrophic lateral sclerosis (ALS), spastic dysarthria associated with primary lateral sclerosis (PLS ...
N. Lévêque +4 more
semanticscholar +1 more source