Speaker identification through use of features selected using genetic algorithm

被引：8
|
作者：
Haydar, A [1 ]
Demirekler, M
Yurtseven, MK
机构：
[1] Eastern Mediterranean Univ, Elect & Elect Engn Dept, Gazi Magosa, Cyprus
[2] Middle E Tech Univ, Dept Elect & Elect Engn, TR-06531 Ankara, Turkey
来源：
ELECTRONICS LETTERS | 1998年 / 34卷 / 01期
关键词：
D O I：
10.1049/el:19980126
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：
The authors introduce the use of a genetic algorithm in the reduction of a 24 parameter (12 LPC derived cepstral coefficients +12 Delta-cepstral coefficients) set to a five, six, seven, eight or ten parameter set, for each speaker in text-independent speaker identification. The experimental results show that there is similar to 5% increase in the recognition rate when the reduced set of parameters is used.
引用
收藏
页码：39 / 40
页数：2
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