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- W2362672010 abstract "Aim To study the influence of the selection of MFCC on the performance of speaker recognition system.Methods The method of SVM based on the MIV is used to study the contribution of each dimension cepstrum component of MFCC in speaker recognition to the identification and classification.Results The selection of the representative feature vector for speaker classification and recognition can result characteristic parameters with lower dimensions and higher recognition rate.Conclusion The importance of each dimension feature parameters′s component can be judged by MIV.Selecting MFCC with high weight value can improve the system recognition and reduce system operation time." @default.
- W2362672010 created "2016-06-24" @default.
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- W2362672010 date "2013-01-01" @default.
- W2362672010 modified "2023-09-24" @default.
- W2362672010 title "The Mel-frequency cepstral coefficients in speaker recognition" @default.
- W2362672010 hasPublicationYear "2013" @default.
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