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HMM in order to use with the mannered null speech recognition system which prepares the hiding

机译:HMM以便与准备隐藏的有礼貌的空语音识别系统一起使用

摘要

PROBLEM TO BE SOLVED: To provide a practical speech recognition system combining articulatory motion data and acoustic data.;SOLUTION: The method of preparing an HMM (hidden Markov model) includes a step 200 of initializing the HMM to a previously defined initial state, and a step of preparing training data including the articulatory motion data and acoustic data of speech. The training data are labeled in a corresponding phoneme state. The method further includes steps 202, 204, 206 and 208 for training the HMM by the training data according to the predetermined HMM/BN (Beyey's network) model.;COPYRIGHT: (C)2005,JPO&NCIPI
机译:解决的问题:提供一种结合发音运动数据和声学数据的实用语音识别系统。解决方案:准备HMM(隐马尔可夫模型)的方法包括将HMM初始化为先前定义的初始状态的步骤200,以及准备训练数据的步骤,该训练数据包括语音的发音运动数据和声学数据。训练数据以相应的音素状态标记。该方法进一步包括步骤202、204、206和208,用于根据预定的HMM / BN(贝叶斯网络)模型通过训练数据来训练HMM。版权:(C)2005,JPO&NCIPI

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