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Language recognition procedures with contextual modeled Hidden Markov models
Language recognition procedures with contextual modeled Hidden Markov models
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机译:具有上下文建模的隐马尔可夫模型的语言识别程序
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摘要
The method exploits the additional tonal contexts at the ends and the beginnings of the words (M,N). State transitions (Z1 to Z4) hold good for the tonal transitions (Li-1,Li). Hidden Markov models for these tones are supplemented by special context models for the beginning and end of the word. The same consideration applies to the tones (Lj,Lj+1) and the state transitions (ZN to ZN+3) of the other word. At least one of the tonal contexts represents a context boundary which is evaluated in the speech recognition. The tonal contexts are used for the modelling of the characteristics in the co-articulation during the transition from one word to the other.
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