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 …
The Detection of Dysarthria Severity Levels Using AI Models: A Review
Dysarthria, a speech disorder stemming from neurological conditions, affects communication
and life quality. Precise classification and severity assessment are pivotal for therapy but are …
and life quality. Precise classification and severity assessment are pivotal for therapy but are …
Dysarthria severity assessment using squeeze-and-excitation networks
Automated dysarthria severity identification can aid clinicians in monitoring the patient's
progress, and can improve the performance of dysarthric speech recognition systems. In this …
progress, and can improve the performance of dysarthric speech recognition systems. In this …
Dysarthria severity classification using multi-head attention and multi-task learning
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 …
patient's progress and a beneficial step in the transcription of dysarthric speech. In this …
Exploring the impact of fine-tuning the wav2vec2 model in database-independent detection of dysarthric speech
Many acoustic features and machine learning models have been studied to build automatic
detection systems to distinguish dysarthric speech from healthy speech. These systems can …
detection systems to distinguish dysarthric speech from healthy speech. These systems can …
Variable STFT layered CNN model for automated dysarthria detection and severity assessment using raw speech
This paper presents a novel approach for automated dysarthria detection and severity
assessment using a variable short-time Fourier transform layered convolutional neural …
assessment using a variable short-time Fourier transform layered convolutional neural …
Classification of dysarthria based on the levels of severity. a systematic review
Dysarthria is a neurological speech disorder that can significantly impact affected
individuals' communication abilities and overall quality of life. The accurate and objective …
individuals' communication abilities and overall quality of life. The accurate and objective …
[HTML][HTML] Pre-trained models for detection and severity level classification of dysarthria from speech
Automatic detection and severity level classification of dysarthria from speech enables non-
invasive and effective diagnosis that helps clinical decisions about medication and therapy …
invasive and effective diagnosis that helps clinical decisions about medication and therapy …
Detection and differentiation of ataxic and hypokinetic dysarthria in cerebellar ataxia and parkinsonian disorders via wave splitting and integrating neural networks
J Song, JH Lee, J Choi, MK Suh, MJ Chung, YH Kim… - PloS one, 2022 - journals.plos.org
Dysarthria may present during the natural course of many degenerative neurological
conditions. Hypokinetic and ataxic dysarthria are common in movement disorders and …
conditions. Hypokinetic and ataxic dysarthria are common in movement disorders and …
An investigation to identify optimal setup for automated assessment of dysarthric intelligibility using deep learning technologies
K Hall, A Huang, SR Shahamiri - Cognitive Computation, 2023 - Springer
Recent advances in deep learning have provided an opportunity to improve and automate
dysarthria intelligibility assessment, offering a cost-effective, accessible, and less subjective …
dysarthria intelligibility assessment, offering a cost-effective, accessible, and less subjective …