A Replay Speech Detection Algorithm Based on Sub-band Analysis

被引：1
|
作者：
Lang Lin [1 ]
Wang, Rangding [1 ]
Yan Diqun [1 ]
机构：
[1] Ningbo Univ, Coll Informat Sci & Engn, Ningbo 315211, Zhejiang, Peoples R China
来源：
INTELLIGENT INFORMATION PROCESSING IX | 2018年 / 538卷
基金：
浙江省自然科学基金; 中国国家自然科学基金;
关键词：
Replay attack; Automatic speaker verification; Spoofing and anti-spoofing; GMM model;
D O I：
10.1007/978-3-030-00828-4_34
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
With the development of speech technology, various spoofed speech has brought a serious challenge to the automatic speaker verification system. The object of this paper is replay attack detection which is the most accessible and can be highly effective. This paper investigates discrimination between the replay speech and genuine speech in each sub-band. For sub-bands with discrimination information, we propose a new filter design approach. Finally, experiments are conducted on the ASV spoof 2017 data set using the algorithm proposed in this paper which demonstrates a 60% relative improvement in term of equal error rate compared with the baseline of ASV spoof 2017.
引用
收藏
页码：337 / 345
页数：9
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