Optimum vector quantization codebook design for speaker recognition

被引：0

作者：

Zhang, XY ^{[1
]}

Wu, JP ^{[1
]}

Zhang, YW ^{[1
]}

Zhang, QS ^{[1
]}

机构：

[1] Wuyi Univ, Informat Sch, Guangdong 529020, Peoples R China

来源：

2004 7TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS 1-3 | 2004年

关键词：

vector quantization(VQ); simulated annealing(SA) algorithm; speaker recognition;

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：

Vector Quantization is a useful method that had been applied to diverse fields such as speaker recognition. This paper describes in detail how to get the optimum vector quantization codebook for the use of speaker recognition. Optimization depends Oil specific criterion or conditions. The optimization discussed here includes three level optimizations. Level one is locally optimization, level two is globally optimization, level three is personally optimization for speaker recognition.

引用

页码：1397 / 1402

页数：6

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