Robust Speaker Authentication Based on Combined Speech and Voiceprint Recognition

被引：0

作者：

Malcangi, Mario ^{[1
]}

机构：

[1] Univ Milan, Dipartimento Informat & Comunicaz, I-20135 Milan, Italy

来源：

COMPUTATIONAL METHODS IN SCIENCE AND ENGINEERING, VOL 2: ADVANCES IN COMPUTATIONAL SCIENCE | 2009年 / 1148卷

关键词：

Speaker authentication; Voiceprint; Speech features; Fuzzy logic;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Personal authentication is becoming increasingly important in many applications that have to protect proprietary data. Passwords and personal identification numbers (PINs) prove not to be robust enough to ensure that unauthorized people do not use them. Biometric authentication technology may offer a secure, convenient, accurate solution but sometimes fails due to its intrinsically fuzzy nature. This research aims to demonstrate that combining two basic speech processing methods, voiceprint identification and speech recognition, can provide a very high degree of robustness, especially if fuzzy decision logic is used.

引用

页码：872 / 875

页数：4

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