Resemble AI brings two complementary defenses to Apple Music's content library. Resemble Detect scans incoming and catalog audio frame-by-frame to flag AI-generated or cloned voices before they reach listeners, protecting artists and labels from impersonation and fraudulent uploads.
PerTh, Resemble's neural speech watermarker, embeds inaudible provenance markers into legitimate audio. Those markers survive re-encoding, time-stretching, and even model retraining — giving rights holders a reliable trail across every distribution surface.
Resemble Detect analyzes uploaded and streamed audio frame-by-frame to identify synthetic or cloned voices before they reach listeners.
Embed inaudible watermarks into every track. Markers persist through re-encoding, compression, and format conversion across the distribution chain.
Run continuous scans across the full Apple Music library to surface deepfake uploads, impersonations, and unauthorized clones at scale.
Watermarks let labels and artists prove provenance across platforms. Trace audio misuse back to the source track with a digital fingerprint.
Detection models retrain continuously against the latest voice-cloning systems so your defenses don't go stale as attackers evolve.
All scans run without storing listener audio. Suitable for compliance with streaming-platform data privacy and user-consent requirements.
