International Journal of Modern Education and Computer Science (IJMECS)
IJMECS Vol. 9, No. 10, 8 Oct. 2017
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Evaluation Framework for Disabled Students based on Speech Recognition Technology
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Author(s)
Index Terms
Speech Recognition, Hidden Markov Model (HMM), Phoneme, Disabled Students, Evaluation, Framework
Abstract
This paper intends to develop an evaluation framework for the students with disabilities based on speech recognition technology. Education is the most significant ingredient in the development and empowerment of individuals. Till the last decade, education was provided to the persons with disabilities in segregated school settings or “special schools”. But in the recent years, there has been a great shift in societal attitude towards disabled students globally. The calls for “integration” of all students, disabled students and non–disabled students into the mainstream classroom environments have gathered momentum worldwide. In the pre–existing frameworks, the disabled students faced great difficulty while interacting with the system. The prime objective of our proposed framework is to provide a user–friendly and interactive environment that gives equal opportunities to all the students being evaluated. The utilization of speech recognition technology would lead to the elimination of all misinterpretations arising due to the human scribe or mediator and would enhance the ability of the disabled students to keep pace with the other students.
Cite This Paper
Sanjay Kumar Pal, Seemanta Bhowmick, "Evaluation Framework for Disabled Students based on Speech Recognition Technology", International Journal of Modern Education and Computer Science(IJMECS), Vol.9, No.10, pp. 10-17, 2017. DOI:10.5815/ijmecs.2017.10.02
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