基于相位谱差值的WAV音频压缩历史检测算法

Compression History Detection for WAV Audio Based on Phase Spectrum Differences

音频压缩历史检测是音频取证领域的重要部分,有助于检测音频是否经过篡改和伪造.文中提出基于相位谱差值统计特征的WAV音频压缩历史检测算法.利用相位谱差值的均值、方差及峰度作为检测特征,能较准确地判断待测WAV音频是否被常见的4种编码器中的任一种进行压缩解压处理,并能进一步估计该WAV音频被压缩时采用的比特率.实验表明文中算法能有效检测WAV音频的压缩历史,且性能优于现有算法.

As an important branch of audio forensics, audio compression history detection is of great significance for audio tampering and forgery detection. In this paper, a WAV audio compression history detection algorithm is proposed based on the statistics of the phase spectrum differences. The mean, the variance and the kurtosis of phase spectrum differences are utilized as the detection features. The proposed algorithm can determine whether the suspicious WAV audio is compressed and decompressed by any of the four popular encoders. Furthermore, the bit rate used in the compression can also be estimated. Experimental results show that the performance of the proposed algorithm is better than that of state-of-the-art detection algorithms.