Two-stage decision making algorithm for speaker verification

被引：0
|
作者：
Yaparoglu, Efe Tankut [1 ]
Senol, Yavuz [1 ]
机构：
[1] Dokuz Eylul Univ, Elekt & Elekt Muhendisligi Bolumu, Izmir, Turkey
来源：
2006 IEEE 14TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS, VOLS 1 AND 2 | 2006年
关键词：
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：
A new decision making algorithm in speaker verification is presented. First, a baseline system is formed using mel-frequency cepstral coefficients (MFCC) as features, and for speaker modeling a radial basis function (RBF) neural network is used. Then, a two-stage decision making algorithm is proposed, which has the aim to eliminate the qualified impostors in the second stage.
引用
收藏
页码：57 / +
页数：2
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