Improving the transcription of academic lectures for information retrieval
|Improving the transcription of academic lectures for information retrieval|
|Author(s)||Mbogho A., Marquard S.|
|Published in||Proceedings - 2013 12th International Conference on Machine Learning and Applications, ICMLA 2013|
|Keyword(s)||Unknown (Extra: Audio systems, Computational linguistics, Learning systems, Audio and video, Automatic transcription, Language model, Language modelling, Large amounts, Lecture capture systems, Wikipedia, Word recognition, Transcription)|
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Improving the transcription of academic lectures for information retrieval is a 2013 conference paper written in English by Mbogho A., Marquard S. and published in Proceedings - 2013 12th International Conference on Machine Learning and Applications, ICMLA 2013.
Recording university lectures through lecture capture systems is increasingly common, generating large amounts of audio and video data. Transcribing recordings greatly enhances their usefulness by making them easy to search. However, the number of recordings accumulates rapidly, rendering manual transcription impractical. Automatic transcription, on the other hand, suffers from low levels of accuracy, partly due to the special language of academic disciplines, which standard language models do not cover. This paper looks into the use of Wikipedia to dynamically adapt language models for scholarly speech. We propose Ranked Word Correct Rate as a new metric better aligned with the goals of improving transcript search ability and specialist word recognition. The study shows that, while overall transcription accuracy may remain low, targeted language modelling can substantially improve search ability, an important goal in its own right.
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