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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一个独立的数字语音拨号系统。在语音识别过程中,MEL频率谱系数系数(MFCC)用作特征参数,选择连续隐藏的Markov模型(CHMM)作为训练和识别模型并由HTK实现。在嵌入式系统上测试了独立于扬声器的数字识别。结果表明,该系统的准确性达到了98%,对扬声器无关的情况,需要3.55秒。语音识别是用软件实现的,这更容易移植到不同的平台并具有潜在的应用前景。

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