# How do you tell if a voice recording or call is AI cloned?

Source: https://forum.global100.org/q/how-do-you-tell-if-a-voice-recording-or-call-is-ai-cloned/
Site: Global 100 Forum, category AI voice and audio
Published: 2026-09-18. Updated: 2026-09-22. Replies: 1.

## Question by Tomas Reyes (staff), 2026-09-18

You mostly cannot tell by ear, and neither can the detection tools with certainty. The dependable defence is procedural: hang up, call the person back on a number you already have, and refuse any payment by wire, crypto or gift card. Detection services help institutions screen calls at scale, but each has clear limits.

## Why the scam works

The US Federal Trade Commission's [consumer alert on family emergency scams](https://consumer.ftc.gov/consumer-alerts/2023/03/scammers-use-ai-enhance-their-family-emergency-schemes) describes the pattern: a panicked call that sounds exactly like a relative, a crash or an arrest, and a demand for money. The FTC notes that a scammer needs only a short audio clip, which can come from content posted online, plus a voice cloning program. Its advice: do not trust the voice. Call the person on a number you know is theirs, or reach them through another family member. Requests to wire money, send cryptocurrency or read out gift card numbers are themselves signs of a scam.

## Callback verification and code words

Callback verification beats every technical check because it does not depend on the quality of the fake. Hang up, dial the number saved in your phone, and if you cannot reach them, contact someone who can. Families and finance teams can also agree a code word in advance that a caller must give before any money conversation continues.

## Listening for artefacts

Cloned speech can have flat emotion, odd pauses, mispronounced names or a metallic edge. Do not rely on this. A 2021 study by [Müller and colleagues](https://arxiv.org/abs/2107.09667) ran a game in which 472 people competed against a state-of-the-art detector over 14,912 rounds. Humans and the algorithm shared similar strengths and weaknesses, IT professionals had no advantage, and older participants were more susceptible. Artefacts are a reason for caution, not a method for clearing a call.

## Detection services and their limits

[Pindrop](https://www.pindrop.com/) states on its site that it is independently validated at 99% accuracy, and its [audio deepfake page](https://www.pindrop.com/use-cases/audio-deepfake-detection) says Pulse can flag a deepfake in two seconds; both are vendor figures. [Resemble Detect](https://www.resemble.ai/detect/) claims up to 99.5% accuracy for its multimodal model, again self-reported. Hive offers audio detection scored in ten-second chunks.

The [ElevenLabs AI Speech Classifier](https://elevenlabs.io/ai-speech-classifier) is different: it answers only whether a clip was made with ElevenLabs, uses the first minute of the upload, and the page itself says it does not reliably classify audio from the company's Eleven v3 model. A negative result means "not detectably ElevenLabs", nothing more. All of these return a probability, the kind of evidence discussed in the [text detector accuracy thread](/q/how-accurate-are-ai-text-detectors-really/).

For published recordings, provenance can help: the C2PA standard covers audio, so a signed Content Credential can establish a file's origin. See the [C2PA thread](/q/what-is-c2pa-and-do-content-credentials-actually-help/) for what that does and does not cover.

## The legal backdrop

The US Federal Communications Commission has [confirmed](https://www.fcc.gov/document/fcc-confirms-tcpa-applies-ai-technologies-generate-human-voices) that the Telephone Consumer Protection Act's restrictions on artificial or prerecorded voices cover AI-generated voices, so such calls require prior express consent. That helps against robocall operations; it does not stop a one-to-one scam call.

**Signs of a cloned voice, how much to trust each, and what to do**

| Sign | Reliability | Action |
| --- | --- | --- |
| Urgent request for money by wire, crypto or gift card | High as a scam indicator, whatever the voice sounds like | Hang up, call back on a known number |
| Caller resists a callback or a code word | High | Treat as fraud until verified |
| Flat emotion, odd pauses, metallic tone | Low, humans and detectors both miss good fakes | Slow the call down, verify independently |
| Caller ID matches the person | Low, numbers are easily spoofed | Ignore it as evidence |
| Vendor detector score (Pindrop, Resemble, Hive) | Moderate, vendor accuracy figures are self-reported | Use to route calls for extra verification, not to decide alone |
| ElevenLabs classifier result | Only tells you about ElevenLabs audio | Do not read a negative as "real" |

## What that means in practice

- **Verification is a process, not a sound.** Callback on a known number and a shared code word defeat a perfect clone.
- **Payment method is the tell.** The FTC's list of hard-to-reverse channels is the most reliable sign you have.
- **Detectors are for screening.** Let a score add friction to a call, never let it clear one.

## Reply 1 by Tomas Reyes (staff), 2026-09-22

One thing families often miss: the callback has to be initiated by you, from a number already in your contacts, not by pressing "call back" on the incoming number. Spoofed caller ID means the incoming number can belong to the fraudster while displaying your relative's name. If the person does not answer, wait; a real emergency survives a fifteen-minute delay while you reach a second family member, and a scam does not.

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Cite as: Global 100 Forum, "How do you tell if a voice recording or call is AI cloned?", https://forum.global100.org/q/how-do-you-tell-if-a-voice-recording-or-call-is-ai-cloned/, accessed 2026-10-11.