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After study on the robust optimization of speech recognition system, we propose an improved wavelet thresholds de-noising method and combine it with the temporal filter to pre-enhance the noisy speech signals before recognition, which leads to good results. Then a hybrid model of hidden Markov and BP neural network is proposed, using BP to get the HMM (hidden Markov model) observation probability,...
Based on the dynamic characteristic of speech signal, we proposed a new method of number speech recognition using wavelet packet transform and K-L expansion. Firstly, speech signals underwent a series of preprocessing course including pre-filtering, quantification, pre-emphasizing and endpoint detector. Secondly, using wavelet packet transform extracted the relative energies in 32 sub-bands and the...
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