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 …
Design of a dysarthria classifier using global statistics of speech features
MV Mujumdar, RF Kubichek - 2010 IEEE International …, 2010 - ieeexplore.ieee.org
Dysarthria is a neurological disorder in which the speech production system is impaired.
There are five main types of dysarthrias depending on the location of the lesion in the …
There are five main types of dysarthrias depending on the location of the lesion in the …
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 …
Exploring articulatory characteristics of Cantonese dysarthric speech using distinctive features
Dysarthria is a kind of motor speech disorder due to neurological deficits. Understanding the
articulatory problems of dysarthric speakers may help to design suitable intervention …
articulatory problems of dysarthric speakers may help to design suitable intervention …
Performance comparison of heterogeneous classifiers for detection of Parkinson's disease using voice disorder (dysphonia)
Speech signal processing and its recognition system have gained a lot of attention from last
few years due to its widespread application. In this study, we have conducted a comparative …
few years due to its widespread application. In this study, we have conducted a comparative …
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 …
Automatic analysis of Categorical Verbal Fluency for Mild Cognitive impartment detection: A non-linear language independent approach
K López-De-Ipiña… - … Work Conference on …, 2015 - ieeexplore.ieee.org
Alzheimer's disease (AD) is one of the main causes of dementia in the world and the
patients develop severe disability and sometime full dependence. In previous stages Mild …
patients develop severe disability and sometime full dependence. In previous stages Mild …
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 …
Automatic analysis of emotional response based on non-linear speech modeling oriented to Alzheimer disease diagnosis
K Lopez-de-Ipina, JB Alonso… - 2013 IEEE 17th …, 2013 - ieeexplore.ieee.org
Alzheimer's disease (AD) is the most prevalent form of progressive degenerative dementia.
Its diagnosis made by analyzing many biomarkers and test but nowadays a definitive …
Its diagnosis made by analyzing many biomarkers and test but nowadays a definitive …
Comparison of speech tasks for automatic classification of patients with amyotrophic lateral sclerosis and healthy subjects
In this work, we consider the task of acoustic and articulatory feature based automatic
classification of Amyotrophic Lateral Sclerosis (ALS) patients and healthy subjects using …
classification of Amyotrophic Lateral Sclerosis (ALS) patients and healthy subjects using …