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Implementation of a Voice Dialing System Based On HTK

机译:基于HTK的语音拨号系统的实现

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Putting speech recognition technology into practice,a speaker-independent digital voice dialing system is realized in an embedded system.In the speech recognition process,the Mel Frequency Cepstrum Coefficients (MFCC) is used as the feature parameter,the Continuous Hidden Markov Model (CHMM) is chosen as the training and recognition model and realized by HTK.This speaker-independent digit recognition is tested on embedded system.The result indicates the accuracy of this system reaches up to 98% to speaker-independent case and it takes 3.55 seconds.The speech recognition is implemented in software,which is easier transplant to different platform and has potential application prospects.
机译:将语音识别技术付诸实践,在嵌入式系统中实现了独立于扬声器的数字语音拨号系统。在语音识别过程中,以梅尔频率倒谱系数(MFCC)作为特征参数,采用了连续隐马尔可夫模型(CHMM) )被选为训练和识别模型,并由HTK实现。该独立于说话人的数字识别在嵌入式系统上进行了测试,结果表明该系统对独立于说话人的情况的准确性高达98%,需要3.55秒。语音识别是通过软件实现的,易于移植到不同的平台,具有潜在的应用前景。

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