In this paper, we investigate the properties of the cepstrogram and
demonstrate its effectiveness as a powerful feature for countermeasure against
replay attacks. Cepstrum analysis of replay attacks suggests that crucial
information for anti-spoofing against replay attacks may retain in the
cepstrogram. Experimental results on the ASVspoof 2019 physical access (PA)
database demonstrate that, compared with other features, the cepstrogram
dominates in both single and fusion systems when building countermeasures
against replay attacks. Our LCNN-based single and fusion systems with the
cepstrogram feature outperform the corresponding LCNN-based systems without
using the cepstrogram feature and several state-of-the-art (SOTA) single and
fusion systems in the literature.Comment: Submitted to INTERSPEECH 202