SoundOn Deploys Derivative Works Detection Tool
SoundOn, the TikTok-owned music distribution platform, on April 2 announced it is integrating ACRCloud’s Derivative Works Detection tool to detect copyrighted tracks altered by speed or pitch shifts. The system uses audio fingerprinting, photo-ID verification and human escalations to flag unauthorized uploads before distribution to DSPs like Spotify and Apple Music. The move aims to reduce fraud and strengthen protections for artists and rightsholders.
Key Points
- 1Integrates ACRCloud's Derivative Works Detection to identify significantly altered unauthorized uploads before distribution.
- 2Addresses industry pressure after licensing disputes and lawsuits over manipulated and AI-generated music.
- 3Requires photo-ID verification and human review, enabling platforms and rights-holders to reduce fraud.
Scoring Rationale
Official, same-day announcement integrating a new detection tool gives credible, timely industry relevance. Scored high for credibility and relevance; downgraded slightly because the update is an integration rather than a transformative new technology.
Sources
Public references used for this report.
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