A. W. F. Huggins

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Real-world applications using speech recognition must perform well over a range of dialects. Dier-ences in dialect between the speakers in the training database and the target users often leads to degraded recognition performance. For the BBN Hark Hidden Markov Model (HMM) based system, we have already developed a reasonably eective technique [1] for(More)
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