CFP last date
20 January 2025
Reseach Article

An Audible Search Engine for Visually Impaired Users: A Prototype Developed using Assistive Technology

by Arfa Masood, Mariam Rehman, Maria Anjum, Mubashra Alam, Sonia Kanwal, Muhammad Rafiq Mufti
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 129 - Number 12
Year of Publication: 2015
Authors: Arfa Masood, Mariam Rehman, Maria Anjum, Mubashra Alam, Sonia Kanwal, Muhammad Rafiq Mufti
10.5120/ijca2015907002

Arfa Masood, Mariam Rehman, Maria Anjum, Mubashra Alam, Sonia Kanwal, Muhammad Rafiq Mufti . An Audible Search Engine for Visually Impaired Users: A Prototype Developed using Assistive Technology. International Journal of Computer Applications. 129, 12 ( November 2015), 20-24. DOI=10.5120/ijca2015907002

@article{ 10.5120/ijca2015907002,
author = { Arfa Masood, Mariam Rehman, Maria Anjum, Mubashra Alam, Sonia Kanwal, Muhammad Rafiq Mufti },
title = { An Audible Search Engine for Visually Impaired Users: A Prototype Developed using Assistive Technology },
journal = { International Journal of Computer Applications },
issue_date = { November 2015 },
volume = { 129 },
number = { 12 },
month = { November },
year = { 2015 },
issn = { 0975-8887 },
pages = { 20-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume129/number12/23125-2015907002/ },
doi = { 10.5120/ijca2015907002 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:23:13.417972+05:30
%A Arfa Masood
%A Mariam Rehman
%A Maria Anjum
%A Mubashra Alam
%A Sonia Kanwal
%A Muhammad Rafiq Mufti
%T An Audible Search Engine for Visually Impaired Users: A Prototype Developed using Assistive Technology
%J International Journal of Computer Applications
%@ 0975-8887
%V 129
%N 12
%P 20-24
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The objective of the research work was to create an Audible Search Engine for Visually Impaired Users, in order to improve their accessibility to find their desired results. In order to fulfill the desired objective, the preliminary study was performed, based on the observation conducted with the blinds that used assistive technology to navigate the Web. For better Speech Recognition, Web Crawler and Speech Synthesizer technologies have been adopted. The designed system detects user’s speech and then converts speech into text. Moreover, Web Crawler makes relevant links and titles available in a short span. Hence, the Speech Synthesizer read, enable the results converted into an audio format which are understandable by visually impaired users. The research work focuses on easier, efficient and less frustrating access for sightless individuals.

References
  1. A. Loo, M. Lu, C. Bloor, . "Internet Surfing for the Blind: A Prototype" in Journal of Electronic Library, Volume 21, 2003,pp. 575-586.
  2. M. Singh and P. Bhatia, "Automated Conversion of English and Hindi Text to Braille Representation" in International Journal of Computer Applications ,Volume 4, July 2010, pp.0975 – 8887.
  3. Blenkhorn, paul [ble 1997], “A System for converting print into Braille ” , IEEE Transaction on Rehabilitation Engineering ,Vol. 3, No .2, June 1997, pp.215-221
  4. F. Reena Sharma and S. Geetanjali Wasson, " Speech Recognition and Synthesis Tool: Assistive Technology for Physically Disabled Persons" in International Journal of Computer Science and Telecommunications, Volume 3, Issue 4, April 2012, pp. 86-91.
  5. N. Ismail and H. Badioze Zaman, "Search Engine Module in Voice Recognition Browser to Facilitate the Visually Impaired in Virtual Learning " World Academy of Science, Engineering and Technology International Journal of Computer, Electrical, Automation, Control and Information Engineering Vol:4, No:11, 2010.
  6. P. Andronico, M. Buzzi, C. Castillo, B. Leporini, "Improving Search Engine Interfaces for Blind Users: a case study", Universal Access in the Information Society , June 2006, Volume 5, Issue 1, pp 23-40.
  7. B. Leporini, P. Andronico, M. Buzzi, "Designing search engine user interfaces for the visually impaired" in W4A '04 Proceedings of the 2004 international cross-disciplinary workshop on Web accessibility (W4A) , ACM, New York, USA, 2004, pp. 57-66.
  8. F. Winberg, "Contextualizing Accessibility: Interaction for Blind Computer Users",Human - Computer Interaction, MDI, Stockholm: KTH, 2008. , pp. 88.
  9. Ummuhanysifa U, N. Banu, "A. Rahman, Voice Based Search Engine And Web Page Reader", International Journal of Computational Engineering Research, May 2013, pp.1.
  10. A. Al-Rehili, D. Al-Juhani, M. Al-Maimani and M. Ahmed, " A Novel approach to convert speech to Text and Vice-Versa and Translate from English to Arabic Language ", international Journal of Science and Applied Information Technology, Volume 1, No.2, May – June 2012.
  11. N.Karthik et al. " Voice Enabled Ontology Based Search Engine on Semantic Web For Blind", International Journal of Computer Science & Engineering Technology, Vol. 5, No. 04, Apr 2014, pp. 341-344.
  12. Ferworn and H. Mark et al., "Auditory WWW Search Tools.", www.icad.org ICAD2000, Atlanta,USA , 2000, pp. 2-5.
  13. Y. Yang, S. Hwang,B. Schenkman,"An improved Web search engine for visually impaired users", Universal Access in the Information Society, 2012, pp. 113-124.
  14. Y. Yang et al." Specialized Design of Web Search Engine for the Blind People. ", Universal Access in Human-Computer Interaction. Applications and Services,Beijing, China,Springer Berlin Heidelberg, 2007.
  15. B. Singh, N. Kapur and P. Kaur," Speech Recognition with Hidden Markov Model: A Review", International Journal of Advanced Research in Computer Science and Software Engineering, March 2012, Vol 2.
Index Terms

Computer Science
Information Sciences

Keywords

Visually Impaired Assistive technology Speech Recognition Web Crawler Speech Synthesizer Audible Search Engine