Speaker identification research based on gaussian mixture model

被引：0
|
作者：
Chunguang, Han [1 ]
Hua, Li [1 ]
Jia, Ding [1 ]
机构：
[1] Dabhogying Vocat Tech Coll, Ningbo 315175, Peoples R China
来源：
2007 International Symposium on Computer Science & Technology, Proceedings | 2007年
关键词：
GMR; speaker identitication; nonlinear window; cepstral coefficient;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
For a speaker identification system based on Gaussian Mixture Model (GMM), this paper proposes an approach of the nonlinear window to improve the robust for the LPC cepstral coefficient (LPCC) and the met-frequency cepstral coefficient (MFCC). The result of simulation experiment in Matlab indicated that the performance of the identification system with the nonlinear window has been improved.
引用
收藏
页码：702 / 705
页数：4
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