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Naresh P. Jawarkar

Published in: International Journal of Current Engineering And Scientific Research ( IJCESR)
Volume- 4, Issue-7, pp.37-43, Jul 2017
DPI :-> 16.10046.IJCESR.2017.V4I7.3743.1827

An accurate speaker identification is difficult due to a number of factors. One of the most prominent factors is environmental noise. In this paper, the effect of additive noise on the performance of the closed set textindependent speaker identification system is addressed. Performance is analyzed with Mel frequency cepstral coefficients (MFCC) and Gammatone frequency cepstral coefficients (GFCC). The effect of two nonlinear compression functions, namely log and cubic root used in the feature extraction process of GFCC on the system performance is analysed. The Gaussian mixture model approach is for speaker modelling. Two databases, namely Marathi and Hindi databases were used for the experimentation. It has been observed that MFCC based system performs better than GFCC based system in clean and low noisy environment. Whereas GFCC based system outperforms MFCC based system in highly noisy environment.

Key-Words / Index Term
Index Terms: Speaker identification, MFCC, GFCC, Noisy environment.

How to cite this article
Naresh P. Jawarkar , “SPEAKER IDENTIFICATION IN NOISY ENVIRONMENT”, International Journal of Current Engineering And Scientific Research ( IJCESR), 4, Issue-7, pp.37-43, Jul 2017. DPI:16.10046.IJCESR.V4.I7.1827