Dysarthric Speech Detection Using Hybrid Models

SH Fazil, D Sasikala - 2023 14th International Conference on …, 2023 - ieeexplore.ieee.org
Dysarthria is a speech disorder caused by weak or poorly coordinated speech-related
muscles. Dysarthria can be caused by various factors such as stroke, multiple sclerosis, or …

[HTML][HTML] Dysarthric-speech detection using transfer learning with convolutional neural networks

SRM Sekhar, G Kashyap, A Bhansali, K Singh - ICT Express, 2022 - Elsevier
Speech Dysarthria is a disorder in which speech muscles become weak, and it becomes
difficult to articulate otherwise linguistically normal speech. This work is based on detection …

Comparative analysis of deep learning models for dysarthric speech detection

P Shanmugapriya, V Mohan - Soft Computing, 2024 - Springer
Dysarthria is a speech communication disorder that is associated with neurological
impairments. To detect this disorder from speech, we present an experimental comparison of …

Comparative Analysis of Deep Learning Models for Dysarthric Speech Detection

S Padmanaban, V Mohan - 2023 - researchsquare.com
Dysarthria is a speech communication disorder that is associated with neurological
impairments. In order to detect this disorder from speech, we present an experimental …

[HTML][HTML] Dysarthia detection using convolution neural network

M Mahendran, R Visalakshi, S Balaji - Measurement: Sensors, 2023 - Elsevier
Dysarthria patients have difficulty controlling their speaking muscles, resulting in
incomprehensible speech. A number of studies have looked into speech impairments; …

Analysis and Classification Dysarthric Speech

S Gupta, HA Patil - Biomedical Signal and Image Processing with Artificial …, 2022 - Springer
Dysarthria is a motor speech disorder that affects the muscles of the vocal tract system, vocal
folds, and renders the speech of the patient unintelligible in many situations. Dysarthria has …

Dysarthria detection using convolutional neural network

P Dumane, B Hungund, S Chavan - … -Societal 2020: Proceedings of the 3rd …, 2021 - Springer
Patients suffering from dysarthria have trouble controlling their muscles involved in
speaking, thereby leading to spoken speech that is indiscernible. There have been a …

[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 …

Tran-DSR: A hybrid model for dysarthric speech recognition using transformer encoder and ensemble learning

R Mahum, AM El-Sherbeeny, K Alkhaledi, H Hassan - Applied Acoustics, 2024 - Elsevier
Over the last decade, there has been a notable increase in the pervasiveness of
neurological diseases due to population growth and aging. Among individuals with …

Automatic dysarthric speech detection exploiting pairwise distance-based convolutional neural networks

P Janbakhshi, I Kodrasi… - ICASSP 2021-2021 IEEE …, 2021 - ieeexplore.ieee.org
Automatic dysarthric speech detection can provide reliable and cost-effective computer-
aided tools to assist the clinical diagnosis and management of dysarthria. In this paper we …