期刊名称：International Journal of Computer Science and Security (IJCSS)
电子版ISSN：1985-1553
出版年度：2011
卷号：4
期号：6
页码：571-579
出版社：Computer Science Journals
摘要：In this paper, three approaches for automatic Speaker Recognition based on Vector quantization are proposed and their performances are compared. Vector Quantization (VQ) is used for feature extraction in both the training and testing phases. Three methods for codebook generation have been used. In the 1st method, codebooks are generated from the speech samples by using the Linde-Buzo-Gray (LBG) algorithm. In the 2nd method, the codebooks are generated using the Kekre's Fast Codebook Generation (KFCG) algorithm and in the 3rd method, the codebooks are generated using the Kekre's Median Codebook Generation (KMCG) algorithm. For speaker identification, the codebook of the test sample is similarly generated and compared with the codebooks of the reference samples stored in the database. The results obtained for the three methods have been compared. The results show that KFCG gives better results than LBG, while KMCG gives the best results.
