Long Range Acoustic and Deep Features Perspective on ASVspoof 2019

Abstract

To secure automatic speaker verification (ASV) systems from intruders, robust countermeasures for spoofing attack detection are required. The ASVspoof series of challenge provides a shared anti-spoofing task. The recent edition, ASVspoof 2019, focuses on attacks by both synthetic and replay speech that are referred to as logical and physical access attacks, respectively. In the ASVspoof 2019 submission, we considered novel countermeasures based on long range acoustic features, that are unique in many ways as they are derived using octave power spectrum and subbands, as opposed to the commonly used linear power spectrum. During the post-challenge study, we further investigate the use of deep features that enhances the discriminative ability between genuine and spoofed speech. In this paper, we summarize the findings from the perspective of long range acoustic and deep features for spoof detection. We make a comprehensive analysis on the nature of different kinds of spoofing attacks and system development.