CFP last date
20 January 2025
Reseach Article

Voice based Email System for Blinds

by Prateek Grover, Naman Chikara, Priyam Khera, Pallav Mulchandani, Piyush Bhatti
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 176 - Number 16
Year of Publication: 2020
Authors: Prateek Grover, Naman Chikara, Priyam Khera, Pallav Mulchandani, Piyush Bhatti
10.5120/ijca2020920121

Prateek Grover, Naman Chikara, Priyam Khera, Pallav Mulchandani, Piyush Bhatti . Voice based Email System for Blinds. International Journal of Computer Applications. 176, 16 ( Apr 2020), 39-41. DOI=10.5120/ijca2020920121

@article{ 10.5120/ijca2020920121,
author = { Prateek Grover, Naman Chikara, Priyam Khera, Pallav Mulchandani, Piyush Bhatti },
title = { Voice based Email System for Blinds },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2020 },
volume = { 176 },
number = { 16 },
month = { Apr },
year = { 2020 },
issn = { 0975-8887 },
pages = { 39-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume176/number16/31288-2020920121/ },
doi = { 10.5120/ijca2020920121 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:42:44.210105+05:30
%A Prateek Grover
%A Naman Chikara
%A Priyam Khera
%A Pallav Mulchandani
%A Piyush Bhatti
%T Voice based Email System for Blinds
%J International Journal of Computer Applications
%@ 0975-8887
%V 176
%N 16
%P 39-41
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

‘Helen keller’ once said that "Someone having sight without any vision is worse than being blind". In the last two decades the world have seen unprecedented amounts of growth in the world of computers, but for the visually impaired people the world still remains dark and stunted. Ever since the early days of computers till now very few initiatives have been taken to escalate the no of blinds using these technologies. To amend the current scenario the well-versed technique of Audio feedback or IVR (previously applied in virtual environments like text readers) is being used excessively in the project helping the visually impaired people to be a part of the current revolution. The project aims at helping these people to feel connected by using email system through speech recognition in English language. The use of keyboard is eradicated. The system can be used by anyone including amateur users who are unable to read, write but only understand the English language.

References
  1. ‘A.P Aleksic, PJM Mengibar ‘- US Patent 10,049,666, 2018 - Voice Recognition System
  2. ‘Seongwook Youn’ and ‘Dennis McLeod’- A Comparative Study for Email Classification
  3. ‘Pranjal Ingle’, ‘Harshada Kanade,’ ,’Arti Lanke’ 2016 Voice based e-mail System for Blinds
  4. ‘Naveen S’, ‘Sreenidhi’ ‘K,Sreekanth P H’, ‘Ravi Kumar N’ 2018 Mailing System Based Voice.
  5. ’ K Jayachandran’,’ P Anbumani ‘- Int. J. Adv. Res. Ideas Innov. Technol, 2017 - Voice based email for blind people.
  6. ‘Robin N. Brewer’, ‘Raymundo Cornejo’, ‘Ted Schwaba, Darren Gergle,’ and ‘Anne Marie Piper’. 2016. Exploring Traditional Phones as an E-Mail Interface for Older Adults.
  7. .’Anjali Kumari’,’Tanvi Nagrale,Tript’i Pragyan ‘Mohapatra,Anand Prem Rajan’ 2019. Old age people problems and their importance in everyone’s life.
  8. ’ Sourav Mukherjee’ 2017 Popular SQL Server Database Encryption Choices
  9. ‘SM Simmons’,’ JK Caird’,’ P Steel ‘- Accident Analysis & Prevention, 2017 - A meta-analysis of in-vehicle and nomadic voice-recognition system interaction and driving performance
  10. ’ CS Jochumson’ - US Patent 9,947,321, 2018 - Real-time interactive voice recognition and response over the internet.
  11. ‘Y Wang’,’ RJ Skerry-Ryan’… 2017 Tacotron: A fully end-to-end text-to-speech synthesis Model.
  12. ‘GE Buddepalli’,’ A Govindjee’, ‘JS Li’,’ N Pattipati’ 2017 Security aware email server.
Index Terms

Computer Science
Information Sciences

Keywords

Speech-To-Text Converter Text-To-Speech Converter Interactive Voice Response (IVR) Speech recognition.