Voice Based Email for Blind

Authors

  • Amritha Suresh  Department of Computer Science, MG University, Kottayam, Kerala, India
  • Binny Paulose  Department of Computer Science, MG University, Kottayam, Kerala, India
  • Reshma Jagan  Department of Computer Science, MG University, Kottayam, Kerala, India
  • Joby George  Department of Computer Science, MG University, Kottayam, Kerala, India

Keywords:

Speech-to-text conversion, text-to-speech, IVR, MFCC, Dynamic time warping, voice recognition.

Abstract

E-mail remains the most go-to form of the many communication technologies in the business world. However all these technologies can be of no use to the people who are visually impaired as all activities that can be performed on the computer is based on visual perception. As nearly 285 million people worldwide are estimated to be visually impaired it becomes necessary to render internet facilities for communication useful for them also. This paper aims at developing an email system which helps them to use it without difficulty. The system makes use of speech recognition, Interactive Voice Response (IVR) and mouse click events. As an additional security aspect, the system makes use of voice recognition for user verification

References

  1. Jagtap Nilesh, Pawan Alai, Chavhan Swapnil and Bendre M.R..“Voice Based System in Desktop and Mobile Devices for Blind People”. In International Journal of Emerging Technology and Advanced Engineering (IJETAE), 2014 on Pages 404-407 (Volume 4, issue 2).
  2. Ummuhanysifa U.,Nizar Banu P K , “Voice Based Search Engine and Web page Reader”. In Internationa Journal of Computational Engineering Research (IJCER). Pages 1-5.
  3. G. Shoba, G. Anusha, V. Jeevitha, R. Shanmathi. “AN Interactive Email for Visually Impaired”. In International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), 2014 on Pages 5089-5092.(Volume 3, Issue 1).
  4. Shabana T., Anam A. , Rafiya A. , Aisha K. “Voice Based Email System for Blinds”. International Journal of Advance Foundation And Research In Science & Engineering (IJAFRSE) Volume 1, Issue 10 , March 2015.
  5. Priyanka Mishra, Suyash Agrawal. “Recognotion of Speaker Useing Mel Frequency Cepstral Coefficient & Vector Quantization for Authentication”. International Journal of Scientific & Engineering Research Volume 3, Issue 8, August-2012.

Downloads

Published

2016-06-30

Issue

Section

Research Articles

How to Cite

[1]
Amritha Suresh, Binny Paulose, Reshma Jagan, Joby George, " Voice Based Email for Blind , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 3, pp.93-97, May-June-2016.