Replay Attack Detection Using Generalized Cross-Correlation of Stereo Signal
Replay Attack Detection Using Generalized Cross-Correlation of Stereo Signal
复制标题
DOI：
10.23919/eusipco.2019.8902985
复制
发表时间：
2019-09
期刊：
影响因子：
--
通讯作者：
Ryoya Yaguchi;Sayaka Shiota;Nobutaka Ono;H. Kiya
中科院分区：
文献类型：
--
作者：
Ryoya Yaguchi;Sayaka Shiota;Nobutaka Ono;H. Kiya
本文提出了一种基于立体声信号广义互相关(GCC)的重放攻击检测方法，用于自动说话人确认。特别是，该方法主要针对语音不活跃时的特定重放攻击特征。在真实说话人的情况下，当语音不活跃时，由于周围的噪声从任何方向到达，GCC的最大值很低。相比之下，在重放攻击的情况下，即使在播放的语音不活跃的情况下，GCC的最大值也很高，因为记录的噪声或电磁噪声是由扬声器播放的，用于重放攻击。基于这一假设，提出了两种重放攻击检测方法。一种是在短暂的停顿中使用GCC的最小值。另一种是使用GCC在目标话语起始点之前和结束点之后的静默期的平均值。实验结果表明，该方法具有较低的误码率，且不受环境限制。
In this paper, we propose a replay attack detection method using the generalized cross-correlation (GCC) of a stereo signal for automatic speaker verification. In particular, this method focuses on a specific replay attack characteristics when speech is not active. In a genuine speaker case, when speech is not active, the maximum value of GCC is low since surrounding noise arrives from any direction. In contrast, in a replay attack case, even when the played speech is not active, the maximum value of GCC is high since recorded noise or electromagnetic noise is played by a loudspeaker for replay attack. Based on this assumption, two approaches of replay attack detection are introduced. One is to use the minimum value of GCC in short pauses. The other one is to use the average value of GCC in silent periods before the start point and after the end point of a target utterance. In experiments, it is confirmed that the proposed methods achieve low error rates without environmental restrictions.