音频取证中录音设备识别研究进展
Advance in Recorder Recognition for Audio Forensics

从音频信号中提取录音设备特征是司法比较研究和音频取证的前沿课题。由于录音设备识别技术受到环境、语义、说话人等因素干扰，需要攻克的难题较多，国内外的研究还处于起步阶段。为此回顾了录音设备研究的发展情况、基本理论和组成结构，特别对组成结构中非话音段检测、特征参数、识别模型和数据库建设的研究现状进行了介绍和分析。最后，进一步分析了录音设备识别存在的不足，并展望未来的研究发展方向，指出加快构建现有各品牌各型号的录音设备、各场合、各类人群的数据库建设与深度学习在录音设备中的应用是下一阶段研究的重点。
Extracting the characteristics of recording devices from audio signals is a frontier in judicial comparative research and audio forensics.As a research hotspot of audio forensics, recorder recognition technology is disturbed by environment, semantics, speaker and other factors. This paper introduces the development, basic theory and structure of recording equipment research. Especially, the research status of non-speech segment detection, feature parameters, recognition model and database construction is introduced and analyzed. Finally, the shortcomings and prospects of recorder identification are discussed. It is considered that the next stage should focus on how to speed up the database construction and the application of deep learning in recorder recognition.