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The Effect of Genotype on Self-Reported Dysarthria and Dysphagia in Parkinson's Disease: A Parkinson's Progression Marker Initiative Study. [PDF]

Int J Lang Commun Disord
Dumican M, Reyers T, Malczewski A, Thijs Z.   +3 more
europepmc   +1 more source

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Dysarthria severity assessment using squeeze-and-excitation networks

Biomedical Signal Processing and Control, 2023
Amlu Anna Joshy, Rajeev
exaly   +2 more sources

An Intelligent System for Dysarthria Classification of Male and Female Processed Dataset using Sequential Model Parameters

2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), 2023
There are several current studies including various methods for treating dysarthria in various developing countries. Research-based dysarthria treatments take a multidisciplinary approach that encompasses speech therapy, assistive technology ...
K. Gill, Vatsala Anand, Rupesh Gupta
semanticscholar   +1 more source

Automated Vowel Articulation Analysis in Connected Speech Among Progressive Neurological Diseases, Dysarthria Types, and Dysarthria Severities.

Journal of Speech, Language and Hearing Research, 2023
PURPOSE Although articulatory impairment represents distinct speech characteristics in most neurological diseases affecting movement, methods allowing automated assessments of articulation deficits from the connected speech are scarce.
V. Illner, T. Tykalová, Dominik Skrabal, J. Klempír, J. Rusz   +4 more
semanticscholar   +1 more source

Automated Detection and Severity Assessment of Dysarthria using Raw Speech

International Conference on Computing Communication and Networking Technologies, 2023
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 proposes the use of a deep learning model that utilizes raw speech ...
Kodali Radha, Mohan Bansal
semanticscholar   +1 more source

Residual Neural Network precisely quantifies dysarthria severity-level based on short-duration speech segments

Neural Networks, 2021
Recently, we have witnessed Deep Learning methodologies gaining significant attention for severity-based classification of dysarthric speech. Detecting dysarthria, quantifying its severity, are of paramount importance in various real-life applications ...
Siddhant Gupta, Ankur T. Patil, Mirali Purohit, Mihir Parmar, Maitreya Patel, H. Patil, R. Guido   +6 more
semanticscholar   +1 more source

Automated Dysarthria Severity Classification Using Deep Learning Frameworks

European Signal Processing Conference, 2021
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 diagnostic step to evaluate the patient's improvement, is also capable of ...
Amlu Anna Joshy, R. Rajan
semanticscholar   +1 more source

Ataxic Dysarthria

Journal of Speech, Language, and Hearing Research, 2000
Although ataxic dysarthria has been studied with various methods in several languages, questions remain concerning which features of the disorder are most consistent, which speaking tasks are most sensitive to the disorder, and whether the different speech production subsystems are uniformly affected.
R D, Kent, J F, Kent, J R, Duffy, J E, Thomas, G, Weismer, S, Stuntebeck   +5 more
openaire   +2 more sources