Designed to solve a common problem in broadcasting, the automated workflow detects, identifies, removes, and documents copyrighted music
AudioShake has introduced Copyright Compliance System, an end-to-end workflow for detecting, identifying, removing, and documenting copyrighted music in mixed-media files. These processes, many of which previously involved manual work, are built into one automated system that puts rightsholders back at the center of music identification and clearance.
The system is designed for the real-world problem broadcasters deal with constantly: music buried under commentary, crowd noise, effects, and field audio that traditional fingerprinting systems can't reliably identify or clear. Copyright Compliance System detects the music, isolates and identifies it, generates cue sheets automatically, and creates rights-cleared outputs for streaming, FAST, social, and archive distribution workflows.
Sports content is full of music that teams don't own: walk-up songs, stadium music, locker-room music all baked into highlights, archives, and social clips, explains April Anderson, manager, marketing and operations, AudioShake. Because the production team doesn't control what's playing in the building, a lot of great footage gets muted, held, or never posted at all. Thanks to Copyright Compliance System, content previously locked due to music rights can now be opened to distribution. Compliance teams stop spending hours on paperwork that the system can produce in a single pass. And rightsholders get cue sheets that reflect what's actually in the content, generated at the source rather than reconstructed after the fact.
The system is already in use across broadcast, sports, postproduction, and rights administration, with ESPN, NFL Films, Jaywalker Music, CrunchLabs, and Music Reports among early customers.
Modular Functionality
The Copyright Compliance System is modular: customers can use the full pipeline or adopt individual components (detection, identification, removal) inside their existing workflow. Extending AudioShake's Music Removal model, the system performs the following services:
Music detection flags whether music is present in a piece of content, including noisy, fully mixed audio where music is buried under dialogue, crowd noise, and effects. This helps downstream cue-sheet teams know where music is present and where to fill out the relevant information.
Music identification isolates the music in any media file and identifies the artist, song title, album, label, release date, and ISRC for each segment. Teams can quickly QC the identified music, combine repeated segments, and correct start and end times to accelerate cue-sheet creation and approval.
Music removal eliminates music from a clip while preserving dialogue, ambient sound, and effects. In social distribution, archival re-licensing, or platforms where rights would otherwise create friction, AudioShake opens the downstream path for rightsholders to license replacement tracks, swap in their own catalog, or recoup royalties on music that previously went unreported.
When the music can remain part of the production, AudioShake identifies the song's composition, recording, and rightsholder, feeding cue-sheet and rights-reporting workflows so that content is documented and cleared instead of shelved.
One example of the system's application is ESPN's 2026 Super Bowl ad, which isolated quarterback Phil Simms's voice from the clip of his iconic postgame I'm going to Disney World! catchphrase. Ambient in-stadium music would have made licensing the full clip cost-prohibitive for just a few seconds of a 60-second commercial. AudioShake removed the ambient music and extracted Simms's vocal, making the clip usable.
Working with AudioShake to leverage their innovative audio separation, says Kevin Lopes, VP, business development and innovation, ESPN, lets us unlock more content for fans by accelerating and modernizing workflows and ensuring we can deliver more high-quality sports content to fans wherever they are.
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Designed to solve a common problem in broadcasting, the automated workflow detects, identifies, removes, and documents copyrighted music
