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We investigate speaker identification in narrowband noise using subband processing. The output of each subband is used to train and test individual hidden Markov models (HMMs), each making a preliminary decision on speaker identity. Subsequently, these are combined to produce a final decision. For sufficient numbers of filters, subband processing(More)
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