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A new hybrid decoding algorithm for speech recognition and utterance verification

We propose a new search algorithm for one-pass utterance verification in which verification and recognition are simultaneously done. The basic idea is that we make a hybrid decoder in which the conventional Viterbi decoder is combined with a likelihood ratio decoder based on a confidence score repre...

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Bibliographic Details
Main Authors: Myoung-Wan Koo, Chin-Hui Lee, Biing-Hwang Juang
Format: Conference Proceeding
Language:English
Subjects:
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Summary:We propose a new search algorithm for one-pass utterance verification in which verification and recognition are simultaneously done. The basic idea is that we make a hybrid decoder in which the conventional Viterbi decoder is combined with a likelihood ratio decoder based on a confidence score representing the confidence level for utterance verification. We overcome the dynamic range problem encountered in the likelihood ratio decoder by use of a sigmoid limiter. We also improve its robustness by selective use of the anti-phone models in calculating the phone likelihood ratios. The proposed strategy is applied to a 1000-word car reservation task. Experimental results show that the proposed hybrid decoder gives better results than the conventional likelihood decoder or the likelihood ratio decoder, particularly in dealing with out-of-vocabulary words or out-of-task sentences.
DOI:10.1109/ASRU.1997.659104