Research Of Speaker Recognition Based On Combining Speaker Characteristic Computer Software & Theory

The speaker recognition is the processing of automatically recognition whether the speaker in the speakers which records gathers, then determined who the speaker is, by analyzing the speaker's pronunciation signals and picking up the speaker's characteristic. Now, it has well application prospects in many fields.Currently in the field of speaker recognition, there are two important questions need to solve for the enhancement of recognition rate. For one hand is how to select more effective and reliable speaker characteristic, For anther hand is how to select the best recognition methods. This article mainly has made the discussion in the fist question, and made following aspects improvement and research.Firstly, we propose that choose MFCC ,LPCC and MFCC and LPCC's difference to be the new speech characteristic parameters .Using VQ to recognize text-inpendent speech ,we have developed a speaker identification in this paper ; We do experiment, mixing MFCC and LPCC together ,to make a new characteristic parameter ,it is prove that ,it can effectively improve the rate of the system recognition ; We also make a test with the extreme point detection before pretreatment and we choose the MFCC as characteristic ,but it's a pity the result is failure.Secondly, do some research of the VQ method, and apply the speakeridentification experiment in this paper...