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In the paper, a novel hybrid algorithm based on Baldwinian learning and PSO (BLPSO) is proposed to increase the diversity of the particles and to prevent premature convergence of PSO. Firstly, BLPSO adopts the Baldwinian operator to simulate the learning mechanism among the particles and employs the information of the swarm to alter the search space adaptively. Secondly, a mutation operation is introduced...
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,...
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