Ming-Chun Wu

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This paper describes the algorithms used in a prototypical software system for automatic pronunciation assessment of Mandarin Chinese. The system uses Viterbi decoding to isolate each syllable and find the log probability of a given utterance based on HMM (Hidden Markov models). The isolated syllables are then sent to a GMM (Gaussian mixture model) for tone(More)
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