Open AccessDevelopment of Text to Speech Conversion System for Low Vision and Blind People
Author(s) -
M. Kala Devi,
L. Padma Sree,
Ms. P. Vineetha
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.d2110.049620
Subject(s) - braille , speech synthesis , computer science , preprocessor , reading (process) , speech recognition , process (computing) , optical character recognition , face (sociological concept) , content (measure theory) , natural language processing , multimedia , artificial intelligence , linguistics , image (mathematics) , mathematical analysis , philosophy , mathematics , operating system
Around the world 285 million individuals are found to be visually challenged out of 7.4 billion populations found in a survey made by World Health Organization. These people face many problems but the major problem is reading. It is observed that they cannot read the text which is not written in braille. In the thought process of supporting them, here is a framework proposed for the visually challenged people which can perform content recognition and produce voice yield. This can assist the visually challenged people with reading any printed content and convey in speech output. A camera is utilized to capture the content from the printed content and the captured picture experiences progression of picture pre-preprocessing steps to get the content of the picture and expels the background. Characters are identified utilizing Tesseract-Optical Character recognition (OCR). The identified script is then changed into voice, utilizing open source speech synthesizer (TTS). Finally, the speech output is heard by the earphones.