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 …

[HTML][HTML] Pre-trained models for detection and severity level classification of dysarthria from speech

F Javanmardi, SR Kadiri, P Alku - Speech Communication, 2024 - Elsevier
Automatic detection and severity level classification of dysarthria from speech enables non-
invasive and effective diagnosis that helps clinical decisions about medication and therapy …

Continuous wavelet transform for severity-level classification of dysarthria

A Kachhi, A Therattil, P Gupta, HA Patil - International Conference on …, 2022 - Springer
Dysarthria is a neuro-motor speech defect that causes speech to be unintelligible and is
largely unnoticeable to humans at various severity-levels. Dysarthric speech classification is …

Deep learning-based acoustic feature representations for dysarthric speech recognition

M Latha, M Shivakumar, G Manjula, M Hemakumar… - SN Computer …, 2023 - Springer
Dysarthria is a motor speech disorder and the most common neurodegenerative disease
characterized by low volume in precise articulation, poor coordination of respiratory and …

Classification of dysarthric speech according to the severity of impairment: an analysis of acoustic features

BA Al-Qatab, MB Mustafa - IEEE Access, 2021 - ieeexplore.ieee.org
The automatic speech recognition (ASR) system is increasingly being applied as assistive
technology in the speech impaired community, for individuals with physical disabilities such …

[PDF][PDF] Deep learning-based detection of dysarthric speech disability

S Prakash - 2020 - academia.edu
Dysarthria is a form of speech disability resulting from neurological damage to the motor
component of motor-speech system of the brain. It results in lack of control over the muscles …

Machine learning-assisted diagnosis of speech disorders: a review of dysarthric speech

SM Shabber, M Bansal, K Radha - … International Conference on …, 2023 - ieeexplore.ieee.org
Speech disorders are commonly associated with neurodegenerative impairments in the
motor system of the brain. Challenges to speech and communication are often experienced …

Automated dysarthria severity classification: A study on acoustic features and deep learning techniques

AA Joshy, R Rajan - IEEE Transactions on Neural Systems and …, 2022 - ieeexplore.ieee.org
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 …

Dysarthria severity classification using multi-head attention and multi-task learning

AA Joshy, R Rajan - Speech Communication, 2023 - Elsevier
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 …

Review on Dysarthric Speech Severity Level Classification Frameworks

M Suresh, J Thomas - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Dysarthria is a motor speech disorder that results from malfunctions in the mechanisms and
systems which regulate the movements required for speech production. It is challenging to …