This study investigated the cepstrogram properties and demonstrated their effectiveness as powerful countermeasures against replay attacks. A cepstrum analysis of replay attacks suggests that crucial information for anti-spoofing against replay attacks may be retained in the cepstrogram. When building countermeasures against replay attacks, experiments on the ASVspoof 2019 physical access database demonstrate that the cepstrogram is more effective than other features in both single and fusion systems. Our LCNN-based single and fusion systems with the cepstrogram feature outperformed the corresponding LCNN-based systems without the cepstrogram feature and several state-of-the-art single and fusion systems in the literature.
翻译:这项研究调查了阴极图的特性,并表明它们作为对付重弹攻击的有力反措施是有效的。对重弹攻击的阴极图分析表明,在气孔图中可以保留防止重弹攻击的防伪关键信息。在针对重弹攻击建立反措施时,对2019年ASVspoof物理访问数据库的实验表明,阴极图比单体系统和聚变系统的其他特征都更有效。我们的以LCNN为基础的单体和聚变系统,其阴极图特征优于相应的LCNN系统,而文献中没有石斑特征和若干最先进的单体和聚变系统。