Abstract
This paper describes the issues and preliminary work involved in the creation of an information retrieval system that will manage the retrieval from collections composed of both speech recognised and ordinary text documents. In previous work, it has been shown that because of recognition errors, ordinary documents are generally retrieved in preference to recognised ones. Means of correcting or eliminating the observed bias is the subject of this paper. Initial ideas and some preliminary results are presented.
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© 2002 Springer-Verlag Berlin Heidelberg
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Sanderson, M., Shou, X.M. (2002). Speech and Hand Transcribed Retrieval. In: Coden, A.R., Brown, E.W., Srinivasan, S. (eds) Information Retrieval Techniques for Speech Applications. IRTSA 2001. Lecture Notes in Computer Science, vol 2273. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45637-6_7
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DOI: https://doi.org/10.1007/3-540-45637-6_7
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