Abstract: Passive detection of digital audio tampering refers to the technology that does not rely on any pre-embedded information to identify the authenticity of digital audio. The main research content is to determine the authenticity and integrity of digital audio. It has a wide application prospect in the fields of court forensics, news justice, intellectual property protection and so on. At present, the related reviews in the field are mainly from the point of overall framework of active and passive digital audio forensics, and they are without a systematic and comprehensive summary of passive detection of digital audio tampering. What’s more, the passive audio forensics research involving in the above reviews is with the problem of inadequate timeliness. This paper first summarizes the task model and forensics framework of digital audio tamper detection, and then divides the present digital audio tampering passive detection methods into four categories according to the tamper means, detection strategies, statistical characteristics and models used：the detection method based on tamper operation, the detection method based on the digital audio recompression, the detection method based on the recording equipment and the audio recording environment, and the detection method based on the statistical characteristics of the digital audio signal. Then it analyzes the typical algorithm and the extended means of each method, and compares the performance of different detection algorithms, then four kinds of methods for the detection of the characteristics and application scope are summarized. Finally, the main research achievements of researchers at home and abroad in digital audio tampering passive detection technology are summarized, the problems and challenges of digital audio tampering passive detection technology and the prospect of future research are put forward.

Key words: digital audio tampering, digital audio forensics, passive detection, authenticity identification

摘要： 数字音频篡改被动检测是指不依赖任何预先嵌入的信息来鉴别数字音频真伪的技术，其最主要研究内容是判定数字音频的真实性和完整性，在司法取证、新闻公正、知识产权保护等领域有着广泛的应用前景。目前领域内相关综述主要从数字音频主动、被动取证总体框架开展，并未专门针对数字音频篡改被动取证研究进行系统全面总结，且涉及被动取证部分存在时效性不足的问题。据此首先总结了数字音频篡改被动检测的任务模型和取证框架，接着依据篡改手段、检测策略、所使用的统计特征及模型，将目前的数字音频篡改被动检测方法分为四类：基于篡改操作的检测方法、基于数字音频重压缩的检测方法、基于录音设备和音频录制环境的检测方法、基于数字音频信号自身统计特性的检测方法，然后分析了每种方法所采用的典型算法和扩展手段，并对不同检测算法进行性能比较，然后对这四类方法的检测特点和使用范围进行总结。最后综合近年来国内外研究人员的主要成果，总结了数字音频篡改被动检测研究面临的问题和挑战，并对未来的研究进行了展望。

关键词: 数字音频篡改, 数字音频取证, 被动检测, 真实性鉴定