Confidence Measures and Integrating Algorithm in Utterance Verification
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    Abstract:

    In this paper, an approach is presented for integrating several confidence measures to verify utterance based on support vector machine (SVM). Segmental filler-based posterior probability parameters and linear predictive coding (LPC) recognition difference measure are derived from the verified utterance. An SVM classifier is trained to integrate several confidence measures to make final decision. Experimental results show that confidence measures and the SVM classifier are effective for utterance verification.

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严斌峰,朱小燕,张智江,张范.语音识别确认中的置信特征和判定算法.软件学报,2006,17(12):2547-2553

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  • Received:February 09,2004
  • Revised:August 24,2005
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