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'''Electrical network frequency analysis''' is a [[forensic science]] technique for validating [[audio recording]]s by comparing frequency changes in background [[mains hum]] in the recording with long-term high-precision historical records of [[mains frequency]] changes from a database.<ref>{{cite web|url=http://www.theregister.co.uk/2010/06/01/enf_met_police/|title=Met lab claims 'biggest breakthrough since Watergate'|author=Chris Williams|publisher=The Register|date=2010-06-01}}</ref><ref>{{cite web|url=http://www.diamondcut.com/Downloads/AppNote4DiamondCut.pdf|title=Digital Audio Recording Analysis: The Electric Network Frequency Criterion|author=Catalin Grigoras|publisher=Diamond Cut Productions, Inc}}</ref>
In effec the mains hum signal is treated as if it was a time-dependent [[digital watermark]] that can be used to identify the time at which the recording was created, and to help detect any edits in the sound recording.<ref>{{cite web|url=http://www.forensic.to/ENF%20processed.pdf|title=Using the ENF criterion for determining the time of recording of short digital audio recordings|author=Maarten Huijbregtse, Zeno Geradts|publisher=Netherlands Forensic Institute, Departement Digital Evidence and Biometrics|accessdate=2010-06-06}}</ref><ref> Cooper, A.J: {{cite web|url=http://www.aes.org/e-lib/browse.cfm?elib=14411|title=The electric network frequency (ENF) as an aid to authenticating forensic digital audio recordings – an automated approach}}, Conference paper, AES 33rd International Conference, USA (2008)</ref>
== References ==
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