Analyzing Machine Learning Algorithms for Speech Impairment Related Issues

Abstract

Aphasia may be defined as a disorder that causes problems in the language of a human, its loss the production of human or grasp of speech and the ability to write language or reading Language. your ability to write can be affected, expression of words and problems in both communication and written language. It is always happening due to the injury to the brain in the human mind it brings from stroke, particularly in order in a single person. Brain injuries are occurring from the tumor in the head, also from brain tumors caused in the brain or any type of infections. According to an all-country survey 2016 About 75 thousand strokes happen per year in the USA and there are at least two lakh fifty thousand people in Britain with aphasia disease.84.1% of people generally confuse stroke and injury caused in the brain that also causes problems in communication. 84.5 percentage of people don’t know term Aphasia disease, 8.8 percentage of people nothing any idea about the disease aphasia disease and also think this disease as a disorder which is caused due to communication or written disorder and 34.7% of affected of Aphasia disease that are "aphasia aware" thinks it as indivisible that does. Aphasia disease treatment is caused by the speech-language pathologist (SLP) or a speech and language therapist. In this paper we presented the different use of machine learning Algorithms for Aphasia patient, types of Aphasia and present different types of treatment Approaches for aphasia.