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TrackOrigin Launches World-First Live Test That Proves a Human — Not AI — Made the Music
EntSun News/11093988
As AI floods streaming with 75,000 tracks a day and 97% of listeners can no longer tell the difference, a new Australian standard verifies human authorship live — then binds cryptographic proof to the master file itself.
NEW CITY, N.Y. - EntSun -- TrackOrigin (trackorigin.io) today announced the beta release of a new standard for proving human-made music — one that abandons audio-only AI detection in favour of testing the living relationship between an artist and their work.
The launch arrives as the streaming catalogue tips into crisis. Deezer reported in April 2026 that it now receives nearly 75,000 fully AI-generated tracks daily — around 44% of uploads. A Deezer/Ipsos study of 9,000 listeners across eight countries found 97% could not reliably distinguish AI-generated music from human-made. When the audience can't hear the difference, the file alone proves nothing.
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TrackOrigin's answer is to stop guessing. Instead of asking a classifier whether a waveform "feels" human, it asks the artist to prove it — live.
An artist uploads a finished master (WAV, FLAC or AIFF). TrackOrigin fingerprints the audio, then runs a 60–120-second recorded session in which the artist demonstrates authorship: performing fragments on camera, recalling creative decisions only the author would know, and showing their process. Challenges are generated after upload from the track itself, so there's no answer key to rehearse.
The breakthrough is underneath. Multiple independent engines verify in parallel across acoustic, behavioural, visual, linguistic, cryptographic and adversarial evidence. A verdict requires convergence — several unrelated signals agreeing. To fake a certificate, an impostor would have to defeat all of them at once, in real time, for prompts they can't see in advance. That costs more than simply making the track.
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A passing session produces a cryptographically signed certificate: an Ed25519-signed manifest bound to the audio's SHA-256 hash, a permanent public certificate page, and an embeddable Origin Seal. Change one sample and the hash changes, voiding the certificate. The proof travels with the work and verifies offline — without contacting TrackOrigin.
"For a century, hearing a song was enough to trust it. That's over," said a TrackOrigin spokesperson. "Listeners can't be the detector any more — 97% get it wrong. So we moved the proof off the file and onto the act of making it."
Crucially, AI use isn't disqualifying — it's declared. TrackOrigin records any AI assistance on the certificate as disclosed context; only fully AI-generated tracks are ineligible. The approach maps to emerging disclosure law, including EU AI Act Article 50 (enforceable 2 August 2026), China's GB 45438-2025, and California's SB 942.
👉 Try TrackOrigin Now (https://trackorigin.io/)
Media contact: support@trackorigin.io
The launch arrives as the streaming catalogue tips into crisis. Deezer reported in April 2026 that it now receives nearly 75,000 fully AI-generated tracks daily — around 44% of uploads. A Deezer/Ipsos study of 9,000 listeners across eight countries found 97% could not reliably distinguish AI-generated music from human-made. When the audience can't hear the difference, the file alone proves nothing.
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TrackOrigin's answer is to stop guessing. Instead of asking a classifier whether a waveform "feels" human, it asks the artist to prove it — live.
An artist uploads a finished master (WAV, FLAC or AIFF). TrackOrigin fingerprints the audio, then runs a 60–120-second recorded session in which the artist demonstrates authorship: performing fragments on camera, recalling creative decisions only the author would know, and showing their process. Challenges are generated after upload from the track itself, so there's no answer key to rehearse.
The breakthrough is underneath. Multiple independent engines verify in parallel across acoustic, behavioural, visual, linguistic, cryptographic and adversarial evidence. A verdict requires convergence — several unrelated signals agreeing. To fake a certificate, an impostor would have to defeat all of them at once, in real time, for prompts they can't see in advance. That costs more than simply making the track.
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A passing session produces a cryptographically signed certificate: an Ed25519-signed manifest bound to the audio's SHA-256 hash, a permanent public certificate page, and an embeddable Origin Seal. Change one sample and the hash changes, voiding the certificate. The proof travels with the work and verifies offline — without contacting TrackOrigin.
"For a century, hearing a song was enough to trust it. That's over," said a TrackOrigin spokesperson. "Listeners can't be the detector any more — 97% get it wrong. So we moved the proof off the file and onto the act of making it."
Crucially, AI use isn't disqualifying — it's declared. TrackOrigin records any AI assistance on the certificate as disclosed context; only fully AI-generated tracks are ineligible. The approach maps to emerging disclosure law, including EU AI Act Article 50 (enforceable 2 August 2026), China's GB 45438-2025, and California's SB 942.
👉 Try TrackOrigin Now (https://trackorigin.io/)
Media contact: support@trackorigin.io
Source: TrackOrigin
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