Abstract
The extraction of characteristic parameters is extremely important front-end of the speech recognition system, accurate parameters extraction of Mongolian speech have the important meaning to its recognition technology development. This paper clarified Mel frequency cepstrum coefficients(MFCC) features and extraction method at first, then it will treated with the first-order and second-order difference, after that, combining these parameters will get a new feature parameter vector. Analyze and extract this eigenvector from Mongolian speech signal by means of MATLAB. Experimental results reveal that the more the feature parameter is, the more precise the description for static and dynamic characteristics of ear to speech is.
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