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    Towards lecture transcription in resource-scarce environments

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    prasa2012-28.pdf (72.44Kb)
    Date
    2012
    Author
    De Villiers, Pieter
    Jooste, Petri
    Van Heerden, Carel J.
    Barnard, Etienne
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    Abstract
    We present progress towards automated Lecture Transcription (LT) in resource scarce environments. Our development has focused on the transcription of lectures in Afrikaans from two faculties at North-West University. A bootstrapping procedure is followed to filter and select well-aligned segments of speech. These segments are then used to train acoustic models. Initial work towards language modeling for LT in a resource-scarce environment is also presented; manual lecture transcriptions are combined with text mined from other sources such as study guides to train language models. Interpolation results indicate that study guides are a useful resource for language modeling, whereas general text (obtained from a publisher of Afrikaans books) is less useful in this context. Our findings are confirmed by the reduced word error rates (WERs) obtained from our off-line speech-recognition system for Lecture Transcription.
    URI
    http://hdl.handle.net/10394/12123
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    • Conference Papers - Vaal Triangle Campus [84]
    • Faculty of Engineering [1104]
    • Faculty of Natural and Agricultural Sciences [4781]

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