Codebook design using genetic algorithm and its application to speaker identification

被引：2
|
作者：
Zhang, L [1 ]
Zheng, B [1 ]
Yang, Z [1 ]
机构：
[1] Nanjing Univ Posts & Telecoms, Dept Informat Engn, Nanjing 210003, Peoples R China
来源：
ELECTRONICS LETTERS | 2005年 / 41卷 / 10期
关键词：
D O I：
10.1049/el:20050187
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A new codebook design algorithm for text-independent speaker identification based on the discrete hidden Markov model (HMM) is proposed. The optimisation criterion of the new training procedure is to make each codevector in the codebook to represent the same number of training vectors approximately rather than to minimise the quantisation error. This idea is implemented with a genetic algorithm. The new codebook is evaluated experimentally. It is shown that, for a small codebook, the speaker identification performance using the new codebook is better than that obtained using the Linde-Buzo-Grey codebook for HMM-based speaker identification.
引用
收藏
页码：619 / 620
页数：2
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