文件名称:asr2000
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Hidden Markov Models (HMMs) are a popular approach
for speech recognition. Commonly, a left-to-right Markov
chain topology is used, where each phoneme is represented
by a sequence of states (typically three) [
for speech recognition. Commonly, a left-to-right Markov
chain topology is used, where each phoneme is represented
by a sequence of states (typically three) [
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