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Title

Design of an Automatic Speaker Recognition System Based on Adapted MFCC and GMM Methods for Arabic Speech

Author

El Bachir TAZI, Abderrahim BENABBOU, Mostafa. HARTI

Citation

Vol. 10  No. 1  pp. 45-50

Abstract

This paper presents a design of an automatic speaker-independent speech recognition system based on adapted Mel Frequency Cepstrum Coefficients (MFCC) associated to Gaussian Mixture Model (GMM) Methods. This experimental study which has performed for various learning times was conducted around MATLAB

Keywords

Arabic speaker recognition, embedded system, GMM modelization, maximum likelihood estimation, MFCC parameterization, time learning adaptation

URL

http://paper.ijcsns.org/07_book/201001/20100106.pdf