An Intelligent System for Dysarthria Classification of Male and Female Processed Dataset using Sequential Model Parameters
Kanwarpartap Singh Gill, Vatsala Anand, Rupesh Gupta
Abstract
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.