该方法首先利用HMM生成最佳语音状态序列,然后用函数逼近技术产生对最佳状态序列进行时间规正,最后通过RBF神经网络进行分类识别。
Here, the HMM is employed to produce a best speech state sequence which is warped to a fixed dimension vector and the RBF neural network is used as classifier.
该方法首先利用HMM生成最佳语音状态序列,然后用函数逼近技术产生对最佳状态序列进行时间规正,最后通过RBF神经网络进行分类识别。
Here, the HMM is employed to produce a best speech state sequence which is warped to a fixed dimension vector and the RBF neural network is used as classifier.
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