Guo-Hong Liao

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The mismatch between training and testing environments makes the necessity of speech recognizers to be adaptive both in acoustic modeling and decision making. Accordingly, the speech hidden Markov models (HMMs) should be able to incrementally capture the evolving statistics of environments using online available data. Also, it is necessary for speech(More)
The mismatch between training and testing environments makes the necessity of speech recognizers to be adaptive both in acoustic modeling and decision rule. Accordingly, the speech hidden Markov models (HMM’s) should be able to incrementally capture the evolving statistics of environments. Also, the speech recognizer should incorporate the inevitable(More)
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