...
首页> 外文期刊>Power Delivery, IEEE Transactions on >Application of Power System Frequency for Digital Audio Authentication
【24h】

Application of Power System Frequency for Digital Audio Authentication

机译:电力系统频率在数字音频认证中的应用

获取原文
获取原文并翻译 | 示例
           

摘要

Frequency is an important parameter for the operation and control of power systems. One novel application of frequency measurements involves using this information to authenticate a digital audio/video recording presented as forensic evidence in legal proceedings. To apply this technique, called the electrical network frequency (ENF) criterion, both a reference frequency database and an accurate frequency estimation method are required. This paper briefly introduces a wide-area frequency monitoring network (FNET) as the reference frequency database and analyzes statistical features of frequency of the four North American interconnections in terms of different time scales. Combined with digital filtering and a three-sample interpolation, the short-time Fourier transform (STFT) is adjusted to estimate the ENF embedded in digital audio recordings. A procedure of using the ENF criterion, ranging from signal preprocessing to ENF estimation and reference frequency database matching, is then proposed. Further, oscillator error of the digital recording device is considered and an iterative error correction method is given to assist with the frequency database matching. Factors which influence the accuracy of frequency estimation, such as parameter selections of the STFT and signal-to-noise ratio, are also discussed. Test results show that the procedure is capable of performing digital audio authentication.
机译:频率是电力系统运行和控制的重要参数。频率测量的一种新颖应用涉及使用此信息来验证在法律诉讼中作为法医证据显示的数字音频/视频记录。为了应用称为电网频率(ENF)标准的这项技术,既需要参考频率数据库,又需要精确的频率估计方法。本文简要介绍了作为参考频率数据库的广域频率监视网络(FNET),并分析了四个北美互连在不同时标下的频率统计特征。结合数字滤波和三样本插值,可以对短时傅立叶变换(STFT)进行调整,以估计嵌入在数字音频录音中的ENF。然后提出了使用ENF准则的过程,范围从信号预处理到ENF估计,再到参考频率数据库匹配。此外,考虑了数字记录设备的振荡器误差,并且给出了一种迭代误差校正方法来辅助频率数据库的匹配。还讨论了影响频率估计准确性的因素,例如STFT的参数选择和信噪比。测试结果表明,该程序能够执行数字音频身份验证。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号