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Automatic Speech Recognition to Enhance Learning for Disabled Students
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Author(s): Pablo Revuelta (Universidad Carlos III de Madrid, Spain), Javier Jiménez (Universidad Carlos III de Madrid, Spain), José M. Sánchez (Universidad Carlos III de Madrid, Spain)and Belén Ruiz (Universidad Carlos III de Madrid, Spain)
Copyright: 2011
Pages: 16
Source title:
Technology Enhanced Learning for People with Disabilities: Approaches and Applications
Source Author(s)/Editor(s): Patricia Ordóñez de Pablos (Universidad de Oviedo, Spain), Jingyuan Zhao (Harbin Institute of Technology, China)and Robert D. Tennyson (University of Minnesota, USA)
DOI: 10.4018/978-1-61520-923-1.ch007
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Abstract
This chapter introduces the potential of Automatic Speech Recognition Technology (ASR) in the challenge of inclusive education. ASR technology combined with Information and Communication Technology (ICT) enhances the learning of disabled people both in and outside the classroom. In the classroom, deaf and hearing-impaired students can benefit from a real-time transcription of what the teacher is saying. Also, a real-time transcription facilitates note taking for students with visual or physical disabilities. Outside the classroom, transcription and other media files (audio, slides, video, etc.) are powerful educational resources for all students, disabled or able-bodied. Some of most relevant projects and systems around the world are described and compared in this chapter to provide updated information about ASR technology performance and its application to enhancing the learning of disabled students.
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