Recording examination guide
ENF analysis: uses and limits
What a changing grid-frequency trace can support—and the evidence a comparison needs.
The short answer
Key takeaways
- A changing trace and suitable reference data are separate requirements; a single hum frequency is not a timestamp.
- Missing traces, missing references and unsuccessful comparisons need different explanations.
- Published correlation results describe their tested signals and conditions, not the probability that your recording is authentic.
Electrical network frequency analysis can compare a trace of changing mains frequency in a recording with reference grid data. Its usefulness depends on the trace, the recording and the reference—not simply on hearing a hum.
A disputed date on an audio file raises two different questions: what does the file say, and what evidence can independently support that date? ENF analysis can contribute to the second question when suitable material exists. It does not turn every recording into a reliable clock or establish that everything said in a recording is true.
This guide explains the method and the questions to ask before relying on it. It does not establish whether ENF is present in your file or whether a particular examiner offers this analysis.

What ENF analysis compares
Electrical grids operate around a nominal frequency, commonly 50 or 60 hertz. Hertz means cycles per second. The frequency varies slightly as the balance of generation and demand changes. A recorder can sometimes capture a trace of those variations through electrical interference or sound associated with mains-powered equipment.
The useful evidence is the pattern of change over time. A single peak near 50 or 60 Hz is not a recording date. In his early technical application note, Catalin Grigoras described comparing a recording's changing frequency pattern with a reference recorded from the electrical network. He also stressed reference quality and combining ENF with other examination methods.
Think of the comparison as two separate inputs: a trace extracted from the questioned recording and reference data whose timing and origin are known. Processing the questioned file cannot supply missing historical reference data.
Source: SWGDE discussion paper, version1.2 (2014), sections4.1–4.4; Grigoras (2003). Arrows show analysis sequence, not guaranteed success.
When a recording is suitable
An examiner first needs to determine whether a usable ENF component exists. A battery-powered device does not automatically rule it out: University of Tennessee researchers describe hum captured in battery-powered recordings. Conversely, recording near electrical equipment does not guarantee a clear, usable trace.
The component may be weak, masked or intermittent. Its harmonics may be more useful than its nominal fundamental frequency. A recording's previous processing and copying history also matters. Keep the earliest available file and document exports or conversions; retain an original alongside any listening copy.
Duration matters, but there is no universal number of seconds that makes every recording suitable. Garg, Varna and Wu's timestamp-verification research examined how duration, noise and the matching method affect performance. Their work also addressed self-similarity in ENF patterns. The question is whether this particular trace contains enough reliable information for the proposed comparison.
Before analysis, supply the claimed date or date range, likely recording region, recording device and any known editing or transfer history. Unknown information should remain unknown. A convenient guess can restrict a search in a way that conceals an alternative explanation.
The reference must cover the right question
A timestamp comparison needs reference data relevant to the recording's grid and possible time period. Ask what reference is available, which dates it covers, whether it contains gaps and how its timekeeping and integrity are established.
SWGDE's 2014 discussion paper separates collection, extraction, comparison and interpretation. It also raises the possibility that a questioned trace comes from a grid or time outside the database. That matters when interpreting an unsuccessful match: the relevant reference may be absent, even if the questioned recording contains an ENF component.
Do not assume a database mentioned in an old paper is currently public, complete or available to the examiner. Reference access and coverage need to be checked for the actual assignment.
A match is a finding with limits
A comparison should explain what was examined, what alternatives were considered and how the result was evaluated. A high similarity value is not, by itself, the probability that a file is authentic.
Different result states answer different questions:
- No usable trace: this method may not provide a useful answer from the available file.
- No suitable reference: a date comparison cannot be completed with that reference.
- No supported match: the search did not establish a match under the tested conditions.
- A supported match: the examiner should state which timing proposition it supports, its uncertainty and any remaining qualifications.
These states should not collapse into a simple “real” or “fake” label. In particular, an absent or disappearing trace does not automatically establish an edit. In the Tom Scott demonstration, a forensic examiner explained that a trace could stop because of an edit or because the recorder moved away from the source of ENF energy.
SWGDE also notes that a duplicated recording can contain components associated with the original and the duplication system. The recording history therefore belongs in the interpretation, not just in the file-transfer paperwork.
Source: synthesis of SWGDE version1.2 (2014), especially sections4.2–4.4, and the article’s result-state definitions. Absence of a trace is not a “fake” verdict.
Correlation is not a universal accuracy rate
Published research can show that a method works better under specified conditions without establishing a success rate for every future recording.
For example, Karantaidis and Kotropoulos compared ENF estimates with a ground-truth signal in six video recordings. Their reported maximum correlation coefficients varied by recording and method. Those coefficients describe that experiment's signal agreement; they are not percentages of authentic recordings or probabilities that a disputed file is genuine.
The authors used fixed cameras and expressly identified moving cameras and scenes containing more people as further challenges. A useful report distinguishes a published method's tested conditions from the conditions in the file under examination.
Study values and methods
| Video | Scene | Proposed method | MCC | MUSIC MCC |
|---|---|---|---|---|
| Mov1 | static | SLIC + ESPRIT | 0.9926 | 0.9658 |
| Mov2 | static | SLIC + STFT | 0.9704 | 0.9466 |
| Mov3 | non-static | SLIC + STFT | 0.9877 | 0.9191 |
| Mov4 | non-static | SLIC + STFT | 0.9837 | 0.8700 |
| Mov5 | non-static | SLIC + STFT | 0.9432 | 0.8441 |
| Mov6 | non-static | SLIC + STFT | 0.9309 | 0.9115 |
Source: Karantaidis and Kotropoulos (2021), Table3. These are source-reported experimental correlations with ground truth. They do not measure the chance that a disputed recording is authentic. No recording was tested for this article.
Video and location require additional care
A video's audio track can contain a hum trace. ENF can also be investigated through variations in recorded lighting. These are different signal paths. Camera sampling, lighting and sensor behavior affect the optical route; a video is not suitable merely because it was recorded indoors.
Location estimation is also a separate proposition from date matching. In a 2025 study, Ngharamike, Ang and Seng investigated smartphone videos within the Australian Eastern grid using reference data from anchor locations. They described regional narrowing and limitations related to grid topology, anchor coverage and inconsistent correlations. They explicitly cautioned against treating the method as universally precise pinpoint location identification.
Ask which location claim is actually supported: a possible grid, a region under a tested method, or a more specific conclusion with its own evidence. Do not turn a regional research result into a street-address promise.
Questions to ask an examiner
Before commissioning or relying on ENF work, ask:
- What precise question will this examination address: timing, continuity, possible editing or location?
- Is there a usable trace in the earliest available file, and which part will be examined?
- Which reference data will be used, and does it cover the relevant grid and dates?
- How will noise, duration, copying and processing history affect the comparison?
- What alternative explanations and unsuccessful result states will the report distinguish?
- Which other evidence will be used to corroborate or qualify the finding?
For the wider distinction between listening improvement and authenticity examination, read our audio authentication guide. Keep source files and processing history using the evidence preservation guide.
Methodology and limitations
This guide compares technical descriptions, original research and their stated limits. It separates the prerequisites for extracting a trace, matching it to reference data and interpreting a result. The six-video comparison uses values reported in one published experiment; we did not collect ENF data or test a recording.
The cited studies concern different methods and settings. Their results do not establish a universal duration threshold, a current reference database's availability, an examiner's capability or a conclusion about your file. An individual examination needs evidence and a stated question of its own.
The useful role of ENF
ENF can provide an additional line of examination when a suitable trace, relevant reference data and an appropriate validated method come together. Its value comes from a defined comparison and careful interpretation. Preserve the source and ask what the result can support before treating it as a date, location or authenticity verdict.
Frequently asked questions
Can ENF determine the exact recording time?
It can support a timing estimate in suitable cases. That requires a usable trace, relevant reference coverage and an evaluated comparison. The report should explain the uncertainty rather than promise an exact answer for every file.
Does no hum mean the recording is fake?
No. A usable ENF trace is not guaranteed. Its absence does not establish that a recording was generated or edited.
Can a short clip be checked?
Ask an examiner to assess it. Duration affects the information available for comparison, but a universal minimum would ignore trace quality, the reference search and the method. Keep the longer original if one exists.
Can a battery-powered recorder contain ENF?
Yes. The University of Tennessee research summary describes ENF components in battery-powered recordings. Power source alone does not establish whether a useful component is present.
Is a hum-removal copy suitable for authentication?
Keep the original. A listening derivative and its processing history may be useful context, but it should not silently replace the earliest available evidence file.
Does ENF identify a speaker or prove the words are true?
A grid-frequency comparison addresses different questions. Do not treat a timing or continuity finding as speaker identification or as confirmation of the truth of a conversation.
Does Media Medic perform ENF analysis?
This article explains the method; it does not confirm ENF examination as an offered service. Confirm the exact capability and proposed scope before relying on an enquiry or commissioning work.
Sources
- Fluke Corporation. (n.d.). What is frequency? https://www.fluke.com/en-us/learn/blog/electrical/what-is-frequency
- Grigoras, C. (2003, October 17). Digital audio recording analysis: The electric network frequency criterion. Diamond Cut Productions, application note AN-4. https://www.diamondcut.com/AppNotes/AppNote4DiamondCut.pdf
- Garg, R., Varna, A. L., & Wu, M. (2012). Modeling and analysis of electric network frequency signal for timestamp verification. IEEE International Workshop on Information Forensics and Security. https://www.mast.umd.edu/files/paper_ENF/conf_paper3_WIFS12.pdf
- Scientific Working Group on Digital Evidence. (2014, February 6). SWGDE electric network frequency discussion paper, version 1.2. https://www.swgde.org/wp-content/uploads/2023/11/2014-02-06-SWGDE-Electric-Network-Frequency-Discussion-Paper-v1-2.pdf
- University of Tennessee Power IT Lab. (n.d.). Forensic research using grid data. https://powerit.utk.edu/forensic_research.html
- Karantaidis, G., & Kotropoulos, C. (2021). An automated approach for electric network frequency estimation in static and non-static digital video recordings. Journal of Imaging, 7(10), 202. https://doi.org/10.3390/jimaging7100202
- Ngharamike, E., Ang, L.-M., & Seng, K. P. (2025). Intra-grid location estimation of smartphone videos using ENF extraction and an improved super-pixel technique. Scientific Reports. https://doi.org/10.1038/s41598-025-89184-w
- Scott, T. (n.d.). The hidden background noise that can catch criminals. YouTube. https://www.youtube.com/watch?v=e0elNU0iOMY