Interactive Amhraric Voise Based Web Search With Enhanced Page Ranking Algorithm For Visually Impaierd

Abstract

Nowadays, web-based technologies influence in every ones daily life such as in education, business, entertainment and others. For the purpose of making web application impressive web developers are too eager to develop their web applications with fully animation graphics and forgetting its accessibility to its users. Unfortunately, most web sites are inaccessible to many disabled people and fail to satisfy the most basic standards for accessibility. Thus, this paper would highlight on the usability and accessibility of Amharic voice recognition browser plug-in as a tool to facilitate the visually impaired and blind learners in accessing virtual learning environment. . More importantly to enable visually impaired user access the relevant web page by enhancing the existing content based relevancy algorithm so that web pages that are relevant and which can be easily synthetized to voice will be ranked in priority. Specifically, the objectives of the study are (i) to explore the challenges faced by the visually impaired learners in accessing virtual learning environment (ii) to determine the suitable guidelines for developing Amharic voice recognition browser plug-in that is accessible to the visually impaired. Furthermore, this study was prepared based on an observation conducted with the Bahirdar University visually impaired learners. Finally, the result of this study would underline on the development of an accessible Amharic voice recognition browser plug-in for the visually impaired.