This paper is published in Volume-4, Issue-2, 2018
Area
Machine Learning
Author
Dhanush Kumar S
Co-authors
Lavanya S, Madhumita G, Mercy Rajaselvi V
Org/Univ
Easwari Engineering College, Chennai, Tamil Nadu, India
Pub. Date
27 March, 2018
Paper ID
V4I2-1429
Publisher
Keywords
Artificial Intelligence, Machine learning, Voice recognition, DNN (Deep Neural Network), HMM (Hidden Markov Model), Rule-based, Speech-to-text conversion, Contextual pattern recognition.

Citationsacebook

IEEE
Dhanush Kumar S, Lavanya S, Madhumita G, Mercy Rajaselvi V. Journal on Speech to Text Conversion, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Dhanush Kumar S, Lavanya S, Madhumita G, Mercy Rajaselvi V (2018). Journal on Speech to Text Conversion. International Journal of Advance Research, Ideas and Innovations in Technology, 4(2) www.IJARIIT.com.

MLA
Dhanush Kumar S, Lavanya S, Madhumita G, Mercy Rajaselvi V. "Journal on Speech to Text Conversion." International Journal of Advance Research, Ideas and Innovations in Technology 4.2 (2018). www.IJARIIT.com.

Abstract

Education is the basic asset of every individual in the society. Unlike others, the visually impaired student community is forced to be dependent on this aspect. As it is rightly said that '' Nine tenth of Education lies in Encouragement '', we propose SCRIBE BOT, a chatbot that helps this community ace their examinations. Scribe bot is an intelligent bot that is trained to read out questions and acquire the corresponding answers. The proposed system is a collaboration of artificial intelligence and machine learning coupled with voice recognition. We have used an algorithm which is a DNN-HMM hybrid. The necessary functionality like authentication which is implemented using rule-based approach is also included. The speech-to-text conversion and contextual pattern recognition are implemented as well. Thus our system overcomes the need for volunteers, bridging the gap between volunteer requirement and the visually impaired students. The proposed system can not only be beneficial for the visually impaired but also for the physically disabled community.
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