Real Time Implementation of Optical Character Recognition Based TTS System using Raspberry pi

Sagar G. K, Shreekanth T

Abstract


Thetext to speech (TTS) conversion technology is proposed to help the blind people and people with poor vision. According to survey done by World Health Organization (WHO) there are about 286 million blind people in this world and about 91% of them reside in developing countries. So there is necessity of portable TTS converter which should be affordable to help the blinds. To help the blind community a smart reader is proposed in this paper. It includes a web cam to capture input text page which is then processed by TTS unit installed in raspberry pi and the output is then amplified by audio and given out on speaker.

Full Text:

PDF

References


Hay mar htun and Theingi zin, hla myo tun “Text to speech conversion using different speech synthesis” International journal of scientific & technology research volume 4, issue 07, July2015.

Chaw Su Thu and Theingi Zin Implementation of “Text to Speech Conversion” International Journal of Engineering Research & Technology Volume 3, Issue 3, March – 2014.

Bindu Philip and r. d. sudhaker Samuel 2009 “Human machine interface – a smart ocr for the visually challenged” International journal of recent trends in engineering, vol no.3, November

Roy shilkrot, pattiemaes, jochen huber, suranga c. nanayakkara, connie k (april may 2014) “Finger reader: a wearable device to support text reading on the go”Journal of emerging trend and information

V. Ajantha devi1, dr. Santhosh baboo “Embedded optical character recognition on tamil text image using raspberry pi” international journal of computer science trends and technology (ijcst) – volume 2 issue 4, jul-aug 2014

Catherine A. Todd, Ammara Rounaq, Umm Kulsum Nur, and Fadi Boufarhat,“An Audio Haptic Tool for Visually Impaired Web Users” Journal of Emerging Trends in Computing and Information Sciences, volume. 3, NO. 8, Aug 2012

Vikram shirol, abhijit m, savitri a et al. “DRASHTI- an android reading aid” International journal of computer science and information technologies vol.6 (july2015)

Jyoti Singh1, Nisheeth Joshi and Iti Mathur, “Part Of Speech Tagging Of Marathi Text Using Trigram Method”, International Journal of Advanced Information Technology Volume. 3, No.2, April2013




DOI: https://doi.org/10.23956/ijarcsse/V7I7/0117

Refbacks

  • There are currently no refbacks.




© International Journals of Advanced Research in Computer Science and Software Engineering (IJARCSSE)| All Rights Reserved | Powered by Advance Academic Publisher.