Detecting Replay Attacks Using Single-Channel Audio: The Temporal Autocorrelation of Speech
Shih-Kuang Lee, Yu Tsao, Hsin‐Min Wang · 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) · 2022
In this paper, we propose to use the temporal autocorrelation of single-channel speech as a new feature for replay detection. Visual comparisons show that the proposed feature distinguishes replay attacks from clean speech and speech with simulated reverberation. Experimental results on the ASVspoof 2019 physical access database show that the proposed feature contains crucial information against replay attacks and that using the proposed feature in a fusion system almost always leads to performance improvements. Furthermore, our best fusion system achieves equal error rate and minimum tandem detection cost function of 0 on the development set for the first time.