# Detecting Replay Attacks Using Multi-Channel Audio: A Neural Network-Based Method

arXiv: https://arxiv.org/abs/2003.08225 · HTML: https://mlsanity.com/paper/2003.08225/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 18 Mar 2020.

## Built on by (most cited first, 1 of 1)

- [Multi-Channel Replay Speech Detection using Acoustic Maps](https://mlsanity.com/paper/2602.16399/) (2026)

## Abstract (arXiv)

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.