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Jr. J.D. Hansen, J. & Proakis, J. “Discrete time processing of speech signal”, 2nd edition, IEEE press, Newwork, 2000.

has been cited by the following article:

Article

Mel-Frequency Cepstral Coefficient (MFCC) - a Novel Method for Speaker Recognition

1Department. of ETC, SIET, Odisha

2Department. of ELTCE, VSSUT, BURLA, ODISHA


Digital Technologies. 2015, Vol. 1 No. 1, 1-3
DOI: 10.12691/dt-1-1-1
Copyright © 2014 Science and Education Publishing

Cite this paper:
Asutosh das, Manas Ranjan Jena, Kalyan Kumar Barik. Mel-Frequency Cepstral Coefficient (MFCC) - a Novel Method for Speaker Recognition. Digital Technologies. 2015; 1(1):1-3. doi: 10.12691/dt-1-1-1.

Correspondence to: Manas  Ranjan Jena, Department. of ELTCE, VSSUT, BURLA, ODISHA. Email: manas.synergy@gmail.com

Abstract

The purpose of this paper is to develop a speaker recognition system which can recognize speakers from their speech. The proposed system would be text dependent speaker recognition system means the user has to speak from a set of spoken words. Mel. Frequency cepstral coefficient is used in order to extract the features of speakers from their speech signal while VQ (LBG) is used for design of codebook from extracted features. In pattern matching we derive the VQ distortion between the utterances of unknown speaker to codebooks of known speaker. We have used Euclidean distance to compute VQ distortion. The system is implemented by using TIMIT database with 630 speakers having 10 speech files each. In our project we have chosen 30 speakers as well as 100 speakers from this database. The comparison of speaker recognition performance between 30 speakers and 100 speakers are also discussed.

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