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
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.