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

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.