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Please use this identifier to cite or link to this item: http://hdl.handle.net/1842/3917

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Title: Stochastic Pronunciation Modelling for Spoken Term Detection
Authors: Wang, Dong
King, Simon
Frankel, Joe
Issue Date: 2009
Journal Title: Proc. of Interspeech 2009
Abstract: A major challenge faced by a spoken term detection (STD) system is the detection of out-of-vocabulary (OOV) terms. Although a subword-based STD system is able to detect OOV terms, performance reduction is always observed compared to in-vocabulary terms. Current approaches to STD do not acknowledge the particular properties of OOV terms, such as pronunciation uncertainty. In this paper, we use a stochastic pronunciation model to deal with the uncertain pronunciations of OOV terms. By considering all possible term pronunciations, predicted by a joint-multigram model, we observe a significant performance improvement.
URI: http://hdl.handle.net/1842/3917
Appears in Collections:CSTR publications

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