YouTube's eraser tool removes copyrighted music without impacting other audio

Technology & How the Eraser Might Work

• People debate whether this is “AI” or traditional DSP (e.g., Fourier transforms); consensus leans toward modern ML models for source separation.
• Examples cited: RNN-based noise/voice isolation like rnnoise2, Nvidia Broadcast, commercial plugins.
• Some wonder if YouTube reconstructs or “regenerates” voices after stripping music; this is unclear.
• Stems separation (isolating voice vs music) is technically possible but can produce artifacts.

Scope, Accuracy, and Limitations

• Tool only targets music that has been claimed and fingerprinted in YouTube’s system, not “all copyrighted music.”
• It must handle remixes, background audio, and low-quality captures, which people see as nontrivial engineering.
• Earlier versions existed for years; this appears to be an upgraded, AI-branded iteration.
• Users report prior tools “mostly work” but can leave audio sounding strange.

Copyright, Fair Use, and Law vs Platform Policy

• Many argue incidental background music in walkaround or livestream videos should clearly be fair use / an exception.
• Commenters note that in US law, “incidental use” and fair use exist, but YouTube’s strike system is stricter to appease large rightsholders.
• Some see YouTube as creating an artificial problem; others say legislation and DMCA safe-harbor pressures forced this system.
• Fair use is seen as context-dependent and ultimately decided by courts, making automated detection “not really possible.”

Impacts on Creators and Viewers

• Small creators fear demonetization over a few seconds of background audio.
• Some accept that unlicensed music should block monetization, but criticize giving all revenue to rightsholders over tiny clips.
• New eraser is viewed positively as a way to keep videos up and retain voiceover, versus muting or full replacement.
• Concerns raised about post-publication editing enabling misleading “scream removal”–style manipulations.

Abuse, Errors, and Scams

• Complaints about bogus claims, including from intermediaries falsely asserting rights (e.g., on game soundtracks or classical performances).
• People describe scams where revenue is siphoned for weeks before resolution, with limited recourse for small channels.
• DMCA penalties for bad-faith notices are seen as practically toothless.

Related Wishes and Broader Critiques

• Desired tools: fair use/“AGI lawyer” assistant, viewer-side music removal, automatic audio enhancement (noise cleanup, “um/ahh” removal).
• Some want open Content ID for all creators, with first-uploader priority, though scaling and abuse are concerns.
• Broader frustration with the music industry’s aggressive enforcement and its chilling effect on everyday recording and sharing.