Recent advances in deep learning models: a systematic literature review
R Malhotra, P Singh - Multimedia Tools and Applications, 2023 - Springer
In recent years, deep learning has evolved as a rapidly growing and stimulating field of
machine learning and has redefined state-of-the-art performances in a variety of …
machine learning and has redefined state-of-the-art performances in a variety of …
The Detection of Dysarthria Severity Levels Using AI Models: A Review
Dysarthria, a speech disorder stemming from neurological conditions, affects communication
and life quality. Precise classification and severity assessment are pivotal for therapy but are …
and life quality. Precise classification and severity assessment are pivotal for therapy but are …
Dysarthria severity assessment using squeeze-and-excitation networks
Automated dysarthria severity identification can aid clinicians in monitoring the patient's
progress, and can improve the performance of dysarthric speech recognition systems. In this …
progress, and can improve the performance of dysarthric speech recognition systems. In this …
Dysarthria severity classification using multi-head attention and multi-task learning
Identifying the severity of dysarthria is considered a diagnostic step in monitoring the
patient's progress and a beneficial step in the transcription of dysarthric speech. In this …
patient's progress and a beneficial step in the transcription of dysarthric speech. In this …
A store-and-forward cloud-based telemonitoring system for automatic assessing dysarthria evolution in neurological diseases from video-recording analysis
Background and objectives: Patients suffering from neurological diseases may develop
dysarthria, a motor speech disorder affecting the execution of speech. Close and …
dysarthria, a motor speech disorder affecting the execution of speech. Close and …
[HTML][HTML] Pre-trained models for detection and severity level classification of dysarthria from speech
Automatic detection and severity level classification of dysarthria from speech enables non-
invasive and effective diagnosis that helps clinical decisions about medication and therapy …
invasive and effective diagnosis that helps clinical decisions about medication and therapy …
Statistical analysis of speech disorder specific features to characterise dysarthria severity level
AA Joshy, PN Parameswaran, SR Nair… - ICASSP 2023-2023 …, 2023 - ieeexplore.ieee.org
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. Dysarthric …
neuro-degenerative disease leads to dysarthria, a neuro-motor speech disorder. Dysarthric …
On using the UA-Speech and TORGO databases to validate automatic dysarthric speech classification approaches
Although the UA-Speech and TORGO databases of control and dysarthric speech are
invaluable resources made available to the research community with the objective of …
invaluable resources made available to the research community with the objective of …
[HTML][HTML] AFM signal model for dysarthric speech classification using speech biomarkers
SM Shabber, EP Sumesh - Frontiers in Human Neuroscience, 2024 - frontiersin.org
Neurological disorders include various conditions affecting the brain, spinal cord, and
nervous system which results in reduced performance in different organs and muscles …
nervous system which results in reduced performance in different organs and muscles …
Automated detection and severity assessment of dysarthria using raw speech
Dysarthria is a medical condition that impairs an individual's ability to speak clearly due to
muscle weakness or paralysis. To diagnose and monitor dysarthria severity, this article …
muscle weakness or paralysis. To diagnose and monitor dysarthria severity, this article …