基于噪声一致性的数字语音异源拼接篡改检测算法

Tampering detection algorithm based on noise consistency for digital voice heterologous splicing

异源拼接是一种常见的数字语音篡改行为,其主要借助音频编辑软件将不同场景中录制的语音片段拼接在一起,以达到改变语音语义的目的。考虑到不同场景中所包含的背景噪声特性往往存在差异,提出了一种基于噪声一致性的数字语音异源拼接篡改检测算法。首先,采用时间递归平均(TRA)算法提取待检测语音中所含噪声;然后,通过突变点检测(CPD)算法检测噪声方差是否存在突变来判定待检测语音是否经过篡改,并对篡改位置作出定位。实验仿真结果表明,所提算法能对数字语音中的异源篡改位置进行有效检测。

Heterologous splicing is a typical tampering behavior for digital voice. It mainly uses the audio editing software to splice the voice clips recorded in different scenes, so as to achieve the purpose of changing the semantics of voice. Considering the difference of background noise in different scenes, a tampering detection algorithm based on noise consistency for digital voice heterologous splicing was proposed. Firstly, the Time-Recursive Averaging （TRA） algorithm was applied to extract the background noise contained in the voice to be detected. Then, the Change-Point Detection （CPD） algorithm was used to detect whether abrupt changes existed in the noise variance, which was used to determine whether the voice was tampered, and to locate the tampering position of the testing voice. The experimental re.suits show that the proposed algorithm can achieve good performance in detecting the tampering position of heterologons splicing for digital voice.