Automatic assessment of dysarthria severity level using audio descriptors
C Bhat, B Vachhani… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
Dysarthria is a motor speech impairment, often characterized by speech that is generally
indiscernible by human listeners. Assessment of the severity level of dysarthria provides an …
indiscernible by human listeners. Assessment of the severity level of dysarthria provides an …
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 …
Automated dysarthria severity classification: A study on acoustic features and deep learning techniques
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 …
improvement, assist pathologists to plan therapy, and aid automatic dysarthric speech …
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 …
Fractal features for automatic detection of dysarthria
T Spangler, NV Vinodchandran… - 2017 IEEE EMBS …, 2017 - ieeexplore.ieee.org
Amytrophic lateral sclerosis (ALS) is an incurable neurodegenerative disease. Difficulty
articulating speech, dysarthria, is a common early symptom of ALS. Detecting dysarthria …
articulating speech, dysarthria, is a common early symptom of ALS. Detecting dysarthria …
Automated dysarthria severity classification using deep learning frameworks
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 …
proportional to its severity. Assessing the severity level of dysarthria, apart from being a …
Quantifying perturbations in temporal dynamics for automated assessment of spastic dysarthric speech intelligibility
TH Falk, R Hummel, WY Chan - 2011 IEEE International …, 2011 - ieeexplore.ieee.org
Spastic dysarthric speech is often associated with imprecise placement of articulators which,
in turn, cause perturbations in speech temporal dynamics, such as unclear distinctions …
in turn, cause perturbations in speech temporal dynamics, such as unclear distinctions …
Phonological features in discriminative classification of dysarthric speech
F Rudzicz - 2009 IEEE International Conference on Acoustics …, 2009 - ieeexplore.ieee.org
In an attempt to overcome problems associated with articulatory limitations and generative
models, this work considers the use of phonological features in discriminative models for …
models, this work considers the use of phonological features in discriminative models for …
An automatic diagnosis and assessment of dysarthric speech using speech disorder specific prosodic features
G Vyas, MK Dutta, J Prinosil… - 2016 39th International …, 2016 - ieeexplore.ieee.org
To diagnose and classify the dysarthric speech, speech language pathologist (SLP)
conducts a listening test. On the basis of the scores given by listeners the dysarthria is …
conducts a listening test. On the basis of the scores given by listeners the dysarthria is …
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 …