The Speech Recognition System Based On The HMMNN Model

Based on the theory and procedure of the Automatic Speech Recognition(ASR),and combined the theory and characteristics of the Artificial Neural Networks(ANN),the research in this paper is oriented on the theory and application of the mixed model –HMMNN,which is formed by the combination of the Hidden Markov Model(HMM) and the self-organized Neural Networks(SONN),and the related algorithms and model are developed.The paper discussed the bandpass filters analysis method and the technology of linear prediction code,then reduced the LPCC and the MFCC parameters. After discussing the properties of the parameters generated in the signal analysis procedure, the MFCC parameter is finally chosen as the features of the voice. Through introduce the HMM model and the ANN model,the paper put forward a new model-HMMNN,and accomplished the theoretical analyses.