首页> 外国专利> APPARATUS FOR RECOGNIZING VOICE USING HMM MODEL SIMILARITY AND RECOGNIZING METHOD THEREOF

APPARATUS FOR RECOGNIZING VOICE USING HMM MODEL SIMILARITY AND RECOGNIZING METHOD THEREOF

机译:利用hmm模型相似度进行语音识别的装置及其识别方法

摘要

PURPOSE: An apparatus for recognizing voice using HMM(hidden markov model) model similarity and a recognizing method thereof are provided to calculate the similarity between vocabularies without using viterbi algorithm. CONSTITUTION: An apparatus for recognizing voice using HMM(hidden markov model) model similarity includes a microphone(11), a low pass filter(13), an analog/digital converter(15), a microcomputer(17), a voice recognizer(19) and a driver(21). The microphone(11) converts voice signal into electrical signal. The low pass filter(13) receives the signal from the microphone and eliminates the high frequency component. The analog/digital converter(15) converts the analog signal to digital signal for the microcomputer. The microcomputer(17) generates control signal for the driver. The voice recognizer(19) discriminates voices at vocabulary model basis. The driver(21) outputs control signal to the microcomputer.
机译:目的:提供一种用于使用HMM(隐马尔可夫模型)模型相似度进行语音识别的装置及其识别方法,以在不使用维特比算法的情况下计算词汇之间的相似度。构成:一种使用HMM(隐马尔可夫模型)模型相似度进行语音识别的设备,包括麦克风(11),低通滤波器(13),模数转换器(15),微型计算机(17),语音识别器( 19)和驾驶员(21)。麦克风(11)将语音信号转换成电信号。低通滤波器(13)从麦克风接收信号,并消除高频分量。模拟/数字转换器(15)将模拟信号转换为用于微型计算机的数字信号。微型计算机(17)产生用于驾驶员的控制信号。语音识别器(19)以词汇模型为基础来区分语音。驱动器(21)向微计算机输出控制信号。

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