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'''Electrical network frequency''' ('''ENF''') '''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. In effect the mains hum signal is treated as if it were a time-dependent [[digital watermark]] that can help identify when the recording was created, and help detect any edits in the recording.<ref>Cooper, A.J: {{cite
The technology has been hailed as "the most significant development in [[audio forensics]] since [[Watergate scandal|Watergate]]."<ref>{{cite web|url=https://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> However, according to a paper by Huijbregtse and Geradts, the ENF technique, although powerful, has significant limitations caused by ambiguity based on fixed frequency offsets during recording, and [[self-similarity]] within the mains frequency database, particularly for recordings shorter than 10 minutes.<ref>Maarten Huijbregtse, Zeno Geradts. {{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}} Lecture Notes in Computer Science; Vol. 5718, Proceedings of the 3rd International Workshop on Computational Forensics, 2009.</ref>
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