Spoofing and countermeasures for automatic speaker verification

被引：0

作者：

Evans, Nicholas ^{[1
]}

Kinnunen, Tomi ^{[2
]}

Yamagishi, Junichi ^{[3
,4
]}

机构：

[1] EURECOM, Sophia Antipolis, France

[2] Univ Eastern Finland, Joensuu, Finland

[3] Univ Edinburgh, Edinburgh, Midlothian, Scotland

[4] Natl Inst Informat, Tokyo, Japan

来源：

14TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2013), VOLS 1-5 | 2013年

基金：

芬兰科学院; 英国工程与自然科学研究理事会; 欧盟第七框架计划;

关键词：

spoofing; imposture; automatic speaker verification; CHANNEL COMPENSATION; VOICE CONVERSION; VARIABILITY; SECURITY;

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：

It is widely acknowledged that most biometric systems are vulnerable to spoofing, also known as imposture. While vulnerabilities and countermeasures for other biometric modalities have been widely studied, e.g. face verification, speaker verification systems remain vulnerable. This paper describes some specific vulnerabilities studied in the literature and presents a brief survey of recent work to develop spoofing countermeasures. The paper concludes with a discussion on the need for standard datasets, metrics and formal evaluations which are needed to assess vulnerabilities to spoofing in realistic scenarios without prior knowledge.

引用

页码：925 / 929

页数：5

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