Comparative Study of Different Techniques in Speaker Recognition: ReviewJournal: International Journal of Advanced engineering, Management and Science (Vol.3, No. 3)
Publication Date: 2017-03-08
Authors : Sonali T. Saste; S. M. Jagdale;
Page : 284-287
Keywords : ANN; DTW; GMM; LPC; MFCC.;
The speech is most basic and essential method of communication used by person.On the basis of individual information included in speech signals the speaker is recognized. Speaker recognition (SR) is useful to identify the person who is speaking. In recent years speaker recognition is used for security system. In this paper we have discussed the feature extraction techniques like Mel frequency cepstral coefficient (MFCC), Linear predictive coding (LPC), Dynamic time wrapping (DTW), and for classification Gaussian Mixture Models (GMM), Artificial neural network (ANN)& Support vector machine (SVM).
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Last modified: 2017-04-02 20:57:57