ASSESSING THE SCOPE OF GENERALIZED COUNTERMEASURES FOR ANTI-SPOOFING

被引:0
作者
Das, Rohan Kumar [1 ]
Yang, Jichen [1 ]
Li, Haizhou [1 ,2 ]
机构
[1] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore, Singapore
[2] Kriston AI Lab, Shenzhen, Peoples R China
来源
2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING | 2020年
关键词
anti-spoofing; generalized countermeasures; ASVspoof; 2019; synthetic attacks; replay attacks; SPEAKER VERIFICATION;
D O I
10.1109/icassp40776.2020.9053086
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Most of the research on anti-spoofing countermeasures are specific to a type of spoofing attacks, where models are trained on data of a particular nature, either synthetic or replay. However, one does not have such leverage as there is no prior knowledge about the kind of spoofing attack in practice. Therefore, there is a requirement to assess the scope of generalized countermeasures for anti-spoofing. The ASVspoof 2019 challenge covers both synthetic as well as replay attacks, which makes the database suitable for such study. In this work, we consider widely popular constant-Q cepstral coefficient features along with two other promising front-ends that capture long-term signal characteristics to assess their scope as generalized countermeasures. Additionally, a comprehensive study is made across different editions of ASVspoof corpora to highlight the need of robust generalized countermeasures in unseen conditions.
引用
收藏
页码:6589 / 6593
页数:5
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