Detect VALL-E AI voices.
Suspect a clip was made with VALL-E? Drop it in and get a citable verdict with the model named, in under half a second. Microsoft research model that clones a voice from about three seconds of audio using neural codec language modeling.
VALL-E, and why it shows up in suspicious audio
VALL-E is a Microsoft Research text-to-speech model that can reproduce a speaker's voice, and even the acoustic feel of the original recording, from roughly three seconds of sample audio, using a neural codec language-modeling approach. It is a research system rather than a consumer product.
Its approach is influential, and it illustrates how little audio cloning now needs. Most VALL-E clips in the wild are demos or derivatives, and the detector reads the synthesis signature regardless of the exact build.
Where you tend to see it: Research demos, derivative tools, and proof-of-concept impersonation.
VALL-E is a legitimate product; misuse is the problem, not the tool. You can read about it on the official VALL-E site.
How to tell a VALL-E voice
The human ear is unreliable on current VALL-E audio. These are the signals a detector weighs. We report which ones drove the verdict rather than handing you a bare number.
- 01Neural codec artifacts that a model reads even in short clips.
- 02Short-sample cloning that reproduces room tone in a slightly off way.
- 03Prosodic regularity across a passage.
- 04Transitions between phonemes that are cleaner than natural speech.
A verdict you can cite, not a vibe
The detector reads the audio, not the speaker. Cloning or stock voice, clean or compressed, it looks for the synthesis signature and attributes the source.
Drop the clip
Upload a file or paste a URL. MP3, WAV, M4A, WebM, or the audio track of a video. About half a second of clear speech is enough.
The model scores it
The same model behind the public detector reads the acoustic signature and weighs the artifacts, then attributes the source, e.g. VALL-E, when it recognizes it.
Get a citable verdict
You get a probability, a confidence level, the named model, and a permanent citation URL you can quote, file, or subpoena.
What to do next
A verdict is evidence, not a verdict of intent. Save the result to get a permanent citation URL and a one-way audio fingerprint you can reference later without storing the file. If you are a journalist or investigator, cite the verdict alongside your own reporting; if this is a suspected scam, treat the contact as unverified and confirm through a channel you already trust. The FTC's advice on suspected scam calls is a sensible baseline.
Building this into a workflow? The API returns the same verdict as JSON with webhooks for bulk jobs, and the browser extension checks audio in place on WhatsApp Web, YouTube, and podcasts.
Common questions
Can you detect VALL-E output?
VALL-E is research, so does this matter?
Does a three-second clone evade it?
Is a single check free?
Will it name VALL-E specifically?
We attribute 24+ voice models
Is this a VALL-E voice? Find out.
Free verdict, model named, in under a second. No card to start.