Abstract
The performance of current Automatic Speech Recognition systems in the lecture environment is still below the level required for accurate transcription of lectures. This paper reports on the results of a study to assess the potential of the Semantic and Syntactic Transcription Analysing Tool in the production of meaningful post-lecture material with minimal investment in time and effort by academic staff.
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© 2012 Springer-Verlag Berlin Heidelberg
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Papadopoulos, M., Pearson, E. (2012). An Intelligent System to Support Accurate Transcription of University Lectures. In: Cerri, S.A., Clancey, W.J., Papadourakis, G., Panourgia, K. (eds) Intelligent Tutoring Systems. ITS 2012. Lecture Notes in Computer Science, vol 7315. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30950-2_136
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DOI: https://doi.org/10.1007/978-3-642-30950-2_136
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30949-6
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