Improving searchability of automatically transcribed lectures through dynamic language modelling
Master Thesis
2012
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University of Cape Town
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Abstract
Recording university lectures through lecture capture systems is increasingly common. However, a single continuous audio recording is often unhelpful for users, who may wish to navigate quickly to a particular part of a lecture, or locate a specific lecture within a set of recordings. A transcript of the recording can enable faster navigation and searching. Automatic speech recognition (ASR) technologies may be used to create automated transcripts, to avoid the significant time and cost involved in manual transcription.
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Marquard, S. 2012. Improving searchability of automatically transcribed lectures through dynamic language modelling. Masters’ Thesis. University of Cape Town.