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Discriminative training of HMM models using maximum margin estimation for speech recognition
Discriminative training of HMM models using maximum margin estimation for speech recognition
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机译:使用最大余量估计进行语音识别的HMM模型的判别训练
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摘要
An improved discriminative training method is provided for hidden Markov models. The method includes: defining a measure of separation margin for the data; identifying a subset of training utterances having utterances misrecognized by the models; defining a training criterion for the models based on maximizing the separation margin; formulating the training criterion as a constrained minimax optimization problem; and solving the constrained minimax optimization problem over the subset of training utterances, thereby discriminatively training the models.
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