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 …
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 …
Application of improved lightweight network and Choquet fuzzy ensemble technology for soybean disease identification
Y Hang, X Meng, Q Wu - IEEE Access, 2024 - ieeexplore.ieee.org
The identification of soybean disease images in natural scenes has been a challenging task
due to their complex backgrounds and diverse spot patterns. Traditional single convolutional …
due to their complex backgrounds and diverse spot patterns. Traditional single convolutional …
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 …
An Intelligent System for Dysarthria Classification of Male and Female Processed Dataset using Sequential Model Parameters
There are several current studies including various methods for treating dysarthria in various
developing countries. Research-based dysarthria treatments take a multidisciplinary …
developing countries. Research-based dysarthria treatments take a multidisciplinary …
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 …
A mixed gas concentration regression prediction method based on RESHA-ALW
J Wu, W Zhao, F Wu, J Yan, P Feng, H Cui… - Sensors and Actuators B …, 2024 - Elsevier
Previous research in gas regression predominantly concentrated on individual gas.
However, in real world, gas typically coexists in mixed forms and the detection technology …
However, in real world, gas typically coexists in mixed forms and the detection technology …
[HTML][HTML] TRiP: a transfer learning based rice disease phenotype recognition platform using SENet and microservices
P Yuan, Y Xia, Y Tian, H Xu - Frontiers in Plant Science, 2024 - frontiersin.org
Classification of rice disease is one significant research topics in rice phenotyping.
Recognition of rice diseases such as Bacterialblight, Blast, Brownspot, Leaf smut, and …
Recognition of rice diseases such as Bacterialblight, Blast, Brownspot, Leaf smut, and …
Automatic Assessment of Dysarthria Using Audio-visual Vowel Graph Attention Network
X Liu, X Du, J Liu, R Su, ML Ng, Y Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
Automatic assessment of dysarthria remains a highly challenging task due to high variability
in acoustic signals and the limited data. Currently, research on the automatic assessment of …
in acoustic signals and the limited data. Currently, research on the automatic assessment of …