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2007•Transactions of Shenyang Ligong UniversityRequires access

Codebook Design Using Genetic Algorithm and Its Application in Speaker Identification

Jie Yang

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Abstract

Vector quantization is one of the popular modeling methods of codebook design in the text-independent speaker identification system at present.In the process of vector quantization,traditional LBG algorithm has the advantage of fast convergence,but it is easy to get the local optimal result, so the codebook designed by LBG is not surely optimal and the recognition performance will be influenced.In this paper,genetic algorithm(GA) is adopted to get global optimized speaker codebook and a new speaker identification algorithm based on GA algorithm and LBG is proposed.Experiment results show that this method improves the quality of codebook,the system based on GA performs with higher identification rates compared with that based on conventional LBG method.

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What this paper is about

Vector quantization is one of the popular modeling methods of codebook design in the text-independent speaker identification system at present.In the process of vector quantization,traditional LBG algorithm has the advantage of fast convergence,but it is easy to get the local optimal result, so the codebook designed by LBG is not surely optimal and the recognition performance will be influenced.In this paper,genetic algorithm(GA) is adopted to get global optimized speaker codebook and a new speaker identification algorithm based on GA algorithm and LBG is proposed.Experiment results show that this method improves the quality of codebook,the system based on GA performs with higher identification rates compared with that based on conventional LBG method.

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Available abstract

Vector quantization is one of the popular modeling methods of codebook design in the text-independent speaker identification system at present.In the process of vector quantization,traditional LBG algorithm has the advantage of fast convergence,but it is easy to get the local optimal result, so the codebook designed by LBG is not surely optimal and the recognition performance will be influenced.In this paper,genetic algorithm(GA) is adopted to get global optimized speaker codebook and a new speaker identification algorithm based on GA algorithm and LBG is proposed.Experiment results show that this method improves the quality of codebook,the system based on GA performs with higher identification rates compared with that based on conventional LBG method.

Key concepts: Codebook, Linde–Buzo–Gray algorithm, Vector quantization, Speaker identification, Algorithm, Genetic algorithm, Computer science, Identification (biology)

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