Tzan-Hwei Chen

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• It is extremely important to able to make an appropriate and reliable judgement based on the error-prone ASR result. • researchers have proposed to compute a score (preferably 0~1), called confidence measure (CM) to indicate reliability of any recognition decision made by ASR system. • Under a different name, namely utterance verification , Rose et(More)
In this paper, we propose a novel approach that reduces the confidence error rate of traditional posterior probability-based confidence measures in large vocabulary continuous speech recognition systems. The method enhances the discriminability of confidence measures by applying entropy information to the posterior probability-based confidence measures of(More)
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