Tracking of electrical network frequency for the purpose of forensic audio authentication

B. Gerazov, Z. Kokolanski, Goce Arsov, V. Dimcev
{"title":"Tracking of electrical network frequency for the purpose of forensic audio authentication","authors":"B. Gerazov, Z. Kokolanski, Goce Arsov, V. Dimcev","doi":"10.1109/OPTIM.2012.6231908","DOIUrl":null,"url":null,"abstract":"Establishing the authenticity of audio evidence is a task of paramount importance in the field of audio forensics. A relatively new approach to establishing the authenticity of digital, as well as analog, audio recordings is the method of Electrical Network Frequency (ENF) analysis. The method is based on tracking the variations of the ENF in the mains hum present in the questioned recording, and comparing the track to a database of referent ENF recordings made directly from the power grid in the time period in question. The paper proposes one such system, designed to log the ENF track in high quality directly from the power lines. The signal conditioning modules provide several functions, such as: attenuation, galvanic isolation, filtering, A/D conversion etc. In this paper, directions for proper dimensioning of the signal conditioning modules are presented. Additionally, a prototype realization of a signal conditioning circuit and its characteristics are given. The power line signal recording for the purpose of audio authentication was realized by using a LabVIEW based virtual instrument.","PeriodicalId":382406,"journal":{"name":"2012 13th International Conference on Optimization of Electrical and Electronic Equipment (OPTIM)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 13th International Conference on Optimization of Electrical and Electronic Equipment (OPTIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OPTIM.2012.6231908","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

Abstract

Establishing the authenticity of audio evidence is a task of paramount importance in the field of audio forensics. A relatively new approach to establishing the authenticity of digital, as well as analog, audio recordings is the method of Electrical Network Frequency (ENF) analysis. The method is based on tracking the variations of the ENF in the mains hum present in the questioned recording, and comparing the track to a database of referent ENF recordings made directly from the power grid in the time period in question. The paper proposes one such system, designed to log the ENF track in high quality directly from the power lines. The signal conditioning modules provide several functions, such as: attenuation, galvanic isolation, filtering, A/D conversion etc. In this paper, directions for proper dimensioning of the signal conditioning modules are presented. Additionally, a prototype realization of a signal conditioning circuit and its characteristics are given. The power line signal recording for the purpose of audio authentication was realized by using a LabVIEW based virtual instrument.
跟踪电网频率,用于法医音频认证
在音频取证领域,确定音频证据的真实性是一项至关重要的任务。一种相对较新的方法来建立数字和模拟录音的真实性是电子网络频率(ENF)分析方法。该方法的基础是跟踪问题记录中存在的主干道嗡嗡声中ENF的变化,并将跟踪与数据库中直接从问题时间段的电网中获得的参考ENF记录进行比较。本文提出了一个这样的系统,旨在直接从电力线记录高质量的ENF轨迹。信号调理模块提供多种功能,如:衰减、电流隔离、滤波、A/D转换等。本文给出了信号调理模块尺寸的确定方法。此外,还给出了信号调理电路的原型实现及其特性。利用基于LabVIEW的虚拟仪器,实现了对电力线信号进行录音以进行音频认证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信