Detecting Replay Attacks Using Multi-Channel Audio: A Neural Network-Based Method
Yuan Gong,
Jian Yang,
Christian Poellabauer
Abstract:With the rapidly growing number of securitysensitive 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 perform… Show more
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