Markov Model Based Oriya Isolated Speech Recognizer-An Emerging Solution for Visually Impaired Students in School and Public Examination
In this paper we have tried to focus on problems faced by visually impaired students of Orissa in school and public examinations and discussed the emerging solutions to those problems at the end in order to minimize those problems. Assessment plays an important role in the education system for evaluating student’s skill in that area. Assessment can be carried out by allowing students to appear exam in terms objective or non-objective type questions but due to the advantages offered by objective type assessment like offer speedier marking, reduced need for cross marking, greater fairness (reliability), more coverage of the syllabus and finally automate the marking process which enforces examination system to be held as objective rather non-objective type. Therefore, it is mostly implemented in examination system conducted in public or school exams. But it is very regret to mention that this assessment procedure is not well suitable for students those are visually impaired as they are unable to read what they have written or it is not possible to know if the ribbon has run out or if the line spacing is faulty unless the supervisor tells them. These are the main obstacles faced by visually challenged people which lead to disqualification for higher studies that ultimately reason to failure of motto i.e. “Education for All”. In this research study we have considered.