Speech Automated Examination for Visually Impaired Students


EOI: 10.11242/viva-tech.01.04.056

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Citation

Mr. Sanket Memane, Ms. Sunetra Mhaskar, Mr. Atif Khan, Prof. Umesh Mohite, "Speech Automated Examination for Visually Impaired Students ", VIVA-IJRI Volume 1, Issue 4, Article 56, pp. 1-7, 2021. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

We that know education is not a luxury but a necessity in today's life. It's a human right and every individual including blind and visually impaired people should also take it. It is very difficult for them to manage their education and learning process. According to recent study it has been found that over 200+ million blind people and visually impaired people are there and the number is growing. so the user have develop a learning application in which a blind or visually impaired student can study on their own without including third party in it. The student will be able to separately operate the application. Here they will be able to study various subjects of their choice, they will be able to take their own notes, and also take tests on the subject. The prime goal of this application is to solve the problem of the blind students regarding their education or studying pattern. Here they will be able to move the cursor anywhere on the desktop and the text will be dictated in the human synthesized AI voice using TTS conversion. They can easily make notes by simply dictating their points to the system, and the system will be convert into text format and also we can listened to it in an audio format. Once the learning part is done, and the student have to revise the particular topic then he/she can give test on that topic by using hand gestures. So here the system will help the visually impaired/blind student to learn and operate the system independently and also they will be able to use it as per their suitable time preference. So, the system is developed to resolve the problem of students being dependent on the third party in their studies and to increase their interest in studies. Hence, not only blind people but also other handicapped people will be able to use this application.

Keywords

Speech Recognition, Speech Synthesis, Speech to Text, Text to Speech, Voice Recognition.

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