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- W2116110832 abstract "Within a spoken term detection (STD) system, the decision maker plays an important role in retrieving reliable detections. Most of the state-of-the-art STD systems make decisions based on a confidence measure that is term-independent, which poses a serious problem for out-of-vocabulary (OOV) term detection. In this paper, we study a term-dependent confidence measure based on confidence normalisation and discriminative modelling, particularly focusing on its remarkable effectiveness for detecting OOV terms. Experimental results indicate that the term-dependent confidence provides much more significant improvement for OOV terms than terms in-vocabulary." @default.
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- W2116110832 date "2009-09-06" @default.
- W2116110832 modified "2023-09-24" @default.
- W2116110832 title "Term-dependent confidence for out-of-vocabulary term detection" @default.
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- W2116110832 doi "https://doi.org/10.21437/interspeech.2009-611" @default.
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