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In this paper we develop hidden Markov model (HMM) based approaches to identify Chinese dialects spoken in Taiwan. This task can be aided by exploiting various characteristic features of Chinese spoken languages. The baseline system performs phonotactic analysis after the speech utterance is tokenized into a sequence of five broad phonetic classes. The(More)
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