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      Improving the Accessibility of the Traditional Lecture: An Automated Tool for Supporting Transcription

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      The 26th BCS Conference on Human Computer Interaction (HCI)

      Human Computer Interaction

      12 - 14 September 2012

      Accessibility, Automatic Speech Recognition, Learning Technology, Evaluation

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          Abstract

          The lecture is in its multiple forms the most commonly used method for transferring information in the University curriculum, yet there are serious questions regarding its effectiveness and accessibility in relation to disabled students and those for whom English is not their first language. Although there has been substantial progress that has been made in the area of Automatic Speech Recognition, current systems are still below the level required for accurate transcription of lectures. The Semantic and Syntactic Transcription Analysing Tool is a step forward in the production of meaningful postlecture materials, with minimal investment in time and effort by academic staff. This paper reports on the results of a study to assess the validity of SSTAT.

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          Inclusion of deaf students in computer science classes using real-time speech transcription

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            Author and article information

            Contributors
            Conference
            September 2012
            September 2012
            : 127-136
            Affiliations
            Teesside University

            United Kingdom
            Article
            10.14236/ewic/HCI2012.18
            © Miltiades Papadopoulos et al. Published by BCS Learning and Development Ltd. The 26th BCS Conference on Human Computer Interaction, Birmingham, UK

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            The 26th BCS Conference on Human Computer Interaction
            HCI
            26
            Birmingham, UK
            12 - 14 September 2012
            Electronic Workshops in Computing (eWiC)
            Human Computer Interaction
            Product
            Product Information: 1477-9358BCS Learning & Development
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

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