1 research outputs found
Detecting Replay Attacks Using Multi-Channel Audio: A Neural Network-Based Method
With the rapidly growing number of security-sensitive systems that use voice
as the primary input, it becomes increasingly important to address these
systems' potential vulnerability to replay attacks. Previous efforts to address
this concern have focused primarily on single-channel audio. In this paper, we
introduce a novel neural network-based replay attack detection model that
further leverages spatial information of multi-channel audio and is able to
significantly improve the replay attack detection performance.Comment: Code of this work is available here:
https://github.com/YuanGongND/multichannel-antispoo