Codebook design method for speaker identification based on Genetic Algorithm

In this paper, a novel method of designing a codebook for speaker identification purpose utilizing Genetic Algorithm has been proposed. Speech features have been extracted using standard speech parameterization method such as LPC, LPCC, RCC, MFCC, ΔMFCC and ΔΔMFCC. For each of these techniques, the performance of the proposed system has been compared. In this codebook design method, Genetic Algorithm has the capability of getting global optimal result and hence improves the quality of the codebook. Experimental results show the superiority (i.e. 92% accuracy has been achieved) of this proposed codebook design method.