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2019 | OriginalPaper | Chapter

The Quality of Text-to-Voice and Voice-to-Text Software Systems for Smart Universities: Perceptions of College Students with Disabilities

Authors : Jeffrey P. Bakken, Vladimir L. Uskov, Narmada Rayala, Jitendra Syamala, Ashok Shah, Lavanya Aluri, Karnika Sharma

Published in: Smart Education and e-Learning 2018

Publisher: Springer International Publishing

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Abstract

Smart Universities and Smart Classrooms are the wave of the future. To better educate local and distant college students we will need to approach education and how we teach these students differently. In addition, college students are more technological than ever before and are demanding new and innovative ways to learn. This paper presents some ideas about how college students with disabilities might also benefit from Smart Classrooms and smart systems – especially from software systems. Even though students with disabilities are not the majority of learners in our classes, by incorporating university-wide smart systems and technologies we believe many of these students will also benefit. This paper presents the outcomes of a pilot research study analyzing two different commercially available and open source text-to-voice software systems and two different voice-to-text software systems by actual college students with disabilities. It describes (1) testing data obtained from actual college students with disabilities analyzing text-to-voice and voice-to-text software systems, (2) student suggestions for these types of systems for Smart Universities to consider, and (3) the impact these software systems could have on the learning of students with disabilities and how this software could aid universities to a possible transformation from a traditional university into a smart one.

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Metadata
Title
The Quality of Text-to-Voice and Voice-to-Text Software Systems for Smart Universities: Perceptions of College Students with Disabilities
Authors
Jeffrey P. Bakken
Vladimir L. Uskov
Narmada Rayala
Jitendra Syamala
Ashok Shah
Lavanya Aluri
Karnika Sharma
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-319-92363-5_5

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