关键词: 数字音频取证, 设备源取证, 被动取证, 数字音频来源识别

Abstract:

Digital audio source passive forensics research aims at extracting the characteristics of the machine fingerprint through the intrinsic device information obtained from the original digital audio data without relying on the redundant information such as digital watermark or digital signature. After that it can make a decision about the source of the digital audio evidence. It has broad application prospects in the fields of judicial forensics, military information, and news dissemination, etc. At present, the research review on passive forensics of digital audio sources faces the problem of insufficient timeliness and insufficient targeting. Based on this, the framework and basic research ideas of passive forensics of digital audio sources are given. Then a brief analysis of the commonly used data sets in this field is made. According to the research object of digital audio sources passive forensics, the research in the field are divided into two modules： characteristic expression and characterization modeling module, and then the five kinds of characteristics such as frequency domain features, cepstrum features, based on the Gaussian super vector information features, fusion features, deep features and five types of forensics models such as Gaussian mixture model, support vector machine, sparse representation classifier, other machine learning methods, deep learning decision model are compared and analyzed. Finally, the research status and existing problems in the field of passive forensics of digital audio sources are summarized and analyzed, and the future research direction is prospected.

Key words: digital audio forensics, source recording device forensics, passive forensics, digital audio source identification