According to commonly steps of speech recognition, the key methods of speech recognition is discussed:a) Firstly, preprocessing and feature extraction in speech recognition is studied .We studied two important speech analysis methods and extracted two key features for speech recognition: MFCC and LPCC .On the base of the research we improve the algorithm and experiment with new method.b) Secondly, a serial of speech recognition methods, DTW, HMM and ANN, is analysised deeply. Much improvement and optimization is put forward. DTW algorithm is optimized in memory size and operation amount; Initialization of HMM adopts inequality segment; ANN must be modified before applying to speech recognition system. These methods have a good effect by experiment.c) We simulate the different methods and every parts .A speech recognition system is realized with friendly interface and convenience operation.
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