Teager Energy Operator Based Features with x-vector for Replay Attack Detection

Abstract

Audio replay attack poses great threat to Automatic Speaker Verification (ASV) systems. In this paper, we propose a set of features based on Teager Energy Operator and a slightly modified version of x-vector system to detect replay attacks. The proposed methods are tested on ASVspoof 2017 corpus. When using GMM with the proposed features, our best system has an EER of 6.13% on dev set and 15.53% on eval set, while the EER for the baseline system (GMM with CQCC) is 30.60% on eval set. When combined with the modified x-vector, the best EER further drops to 5.57% for dev subset and 14.21% for eval subset.