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 approach that encompasses speech therapy, assistive technology, neurosurgery, pharmaceutical therapies, non-invasive brai...

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Bibliographic Details
Published in2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) pp. 815 - 820
Main Authors Gill, Kanwarpartap Singh, Anand, Vatsala, Gupta, Rupesh
Format Conference Proceeding
LanguageEnglish
Published IEEE 23.08.2023
Subjects
Assistive technologies
Brain modeling
CNN
Confusion matrix
Deep Learning
Dysarthria Classification
Machine learning
Model Training
Multiple sclerosis
Parkinson's disease
Production
Sequential Model
Speech enhancement
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Summary: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, neurosurgery, pharmaceutical therapies, non-invasive brain stimulation, machine learning and AI methods. These methods seek to raise the general quality of life, communication and speaking abilities of dysarthria sufferers. With a 90% accuracy rate, the proposed sequential model was found to have good classification performance for identifying Dysarthria. Researchers have also been looking at the use of Machine Learning (ML) and Artificial Intelligence (AI) approaches to create tools and systems that can help people with dysarthria to speak and communicate for social welfare and provide access to best remedies.
DOI:10.1109/ICAISS58487.2023.10250600