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In this paper, a novel method of designing a codebook for noise robustspeaker identification purpose utilizing Genetic Algorithm has been proposed.Wiener filter has been used to remove the background noises from the sourcespeech utterances. Speech features have been extracted using standard speechparameterization method such as LPC, LPCC, RCC, MFCC, (delta)MFCC and(delta)(delta) MFCC. For each of these techniques, the performance of theproposed system has been compared. In this codebook design method, GeneticAlgorithm has the capability of getting global optimal result and henceimproves the quality of the codebook. Comparing with the NOIZEOUS speechdatabase, the experimental result shows that 79.62 percent accuracy has beenachieved.

Codebook Design Method for Noise Robust Speaker Identification based on Genetic Algorithm