Considering the actuality of current speech recognition and the characteristic of RBF neural network, a noise-robust speech recognition system based on RBF neural network is proposed with the entire-supervised algorit...
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ISBN:
(纸本)9783037850756
Considering the actuality of current speech recognition and the characteristic of RBF neural network, a noise-robust speech recognition system based on RBF neural network is proposed with the entire-supervised algorithm. If the traditional clustering algorithm is employed, there is a flaw that the node center of hidden layer is always sensitive to the initial value, but if the entire-supervised algorithm is used, the flaw will not turn up, and the classification ability of RBF network will be enhanced. Experimental results show that, compared with the traditional clustering algorithm, the entire-supervised algorithm is of higher recognition rate in different SNRs than that of clustering algorithm.
Considering the actuality of current speech recognition and the characteristic of RBF neural network,a noise-robust speech recognition system based on RBF neural network is proposed with the entire-supervised *** the ...
详细信息
Considering the actuality of current speech recognition and the characteristic of RBF neural network,a noise-robust speech recognition system based on RBF neural network is proposed with the entire-supervised *** the traditional clustering algorithm is employed,there is a flaw that the node center of hidden layer is always sensitive to the initial value,but if the entire-supervised algorithm is used,the flaw will not turn up,and the classification ability of RBF network will be *** results show that,compared with the traditional clustering algorithm,the entire-supervised algorithm is of higher recognition rate in different SNRs than that of clustering algorithm.
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