Abstract:

A new method for speech recognition based on a hybrid model of hidden Markov models( HMM ) and the genetic algorithm neural network ( GABP ) is presented. The HMM is employed to compute the Viterbi output score. Then the score is used as the input of the GABP network to acquire the classification information. Finally, the sampled data are trained and tested by the Matlab software. And the result of recognition is made by the recognition information. The recognition experiment shows that the model has higher performance than the hidden Markov model in speech recognition, because of the dynamic time series,the  greatly strengthened modeling ability of HMM, and the greatly strengthened classification ability of the GABP network.

Key words: speech recognition;hidden markov models(HMM);genetic algorithm;BP neural networks(BP)