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Improving the accessibility of the traditional lecture: an automated tool for supporting transcription

Published: 10 September 2012 Publication History

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 post-lecture 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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Cited By

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  • (2015)Application Requirements for Deaf Students to use in Inclusive ClassroomsProceedings of the Latin American Conference on Human Computer Interaction10.1145/2824893.2824898(1-8)Online publication date: 18-Nov-2015

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cover image Guide Proceedings
BCS-HCI '12: Proceedings of the 26th Annual BCS Interaction Specialist Group Conference on People and Computers
September 2012
401 pages

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BCS Learning & Development Ltd.

Swindon, United Kingdom

Publication History

Published: 10 September 2012

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  1. accessibility
  2. automatic speech recognition
  3. evaluation
  4. learning technology

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  • (2015)Application Requirements for Deaf Students to use in Inclusive ClassroomsProceedings of the Latin American Conference on Human Computer Interaction10.1145/2824893.2824898(1-8)Online publication date: 18-Nov-2015

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