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Neural-network based measures of confidence for word recognitionAcoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on In Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on, Vol. 2 (1997), pp. 887-890 vol.2.
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AbstractThis paper proposes a probabilistic framework to define and evaluate confidence measures for word recognition. We describe a novel method to combine different knowledge sources and estimate the confidence in a word hypothesis, via a neural network. We also propose a measure of the joint performance of the recognition and confidence systems. The definitions and algorithms are illustrated with results on the Switchboard Corpus
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