Development of Text to Speech Conversion System for Low Vision and Blind People
P. Vineetha1, L. Padma Sree2, M. Rama Devi3
1M. Rama Devi*, Assistant Professor, Department of Electronics and Communication Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India.
2Dr. L. PadmaSree, Professor, Department of Electronics and Communication Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India.
3Ms. P. Vineetha, Department of Electronics and Communication Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India
Manuscript received on March 15, 2020. | Revised Manuscript received on March 23, 2020. | Manuscript published on April 10, 2020. | PP: 2154-2158 | Volume-9 Issue-6, April 2020. | Retrieval Number: D2110029420/2020©BEIESP | DOI: 10.35940/ijitee.D2110.049620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Embedded Processor, Tesseract OCR, Speech Synthesis (TTS).
Scope of the Article: Vision and Speech Perception