Abstract
Attending classes and completing education is a particularly daunting task for students with visual disability. Their challenges have been further escalated during the prevailing pandemic situation. So, mere transition to a digital platform may not suffice. Educational organizations who are moving to online mode overnight need to have concerns regarding this. Because, although online mode may help in accessing the content at one’s own pace, however, the content should be read out aloud and quite slowly and clearly for the students to pick up. An educational app, designed keeping in view the needs of a visually challenged student is thus the need of the hour. This would empower students by freeing them of dependencies. This study is aimed toward highlighting the features and limitations of any such existing apps and laying down the foundation of an app which shall have easy access facility, i.e., text-to-speech for the visually impaired learners. Also, a brief comparison among education-based apps for visually impaired has been summarized.
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Acknowledgements
This work was supported by Odisha State Open University, Sambalpur, India under the Minor Research Project Fund at Rama Devi Women’s University.
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Swain, D., Sahoo, S.S. (2021). Empowering the Visually Impaired Learners with Text-to-Speech-Based Solution. In: Swain, D., Pattnaik, P.K., Athawale, T. (eds) Machine Learning and Information Processing. Advances in Intelligent Systems and Computing, vol 1311. Springer, Singapore. https://doi.org/10.1007/978-981-33-4859-2_55
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DOI: https://doi.org/10.1007/978-981-33-4859-2_55
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