The Next Generation of Cue Sheet Creation with AI Recognition

For media productions, cue sheets may seem like routine paperwork, but they sit at a critical point in the royalty chain. When they are complete, accurate, and delivered on time, they give publishers, composers, songwriters, and other rights holders a clear record of how music was used by the production. When they’re inaccurate, the consequences travel downstream in the form of lost royalties. Here’s a look at how Music Reports’ Cuetrak helps prevent royalties from disappearing into the music industry’s ‘black box.’

This article was created in collaboration with DMN partner Music Reports.

When a cue is overlooked, a duration is miscalculated, or a track goes unrecognized, it can lead to gaps in reporting. These gaps can result in misdirected royalties, which ultimately get paid out to the wrong parties instead of being distributed to the rights holders whose work was featured in the production. Crafting precise cue sheets is not just an administrative task; it’s fundamentally an obligation that ensures creators get paid for their work.

At the same time, maintaining accurate cue sheets is becoming an increasingly complex job, as television, film, streaming, sports, videogames, podcasts, fitness programming, social video, and archival catalogs all generate music-use data at scale. Manual cue sheet workflows were never designed for a world where a two-hour broadcast can contain hundreds of cues—or where one short-form video channel can hold thousands of pieces of music-bearing content.

Cuetrak, Music Reports’ cue sheet and analytics platform, is addressing that challenge through a new integration with AudioShake’s music detection and identification technology. The workflow is designed to turn a single media file upload into a draft cue sheet, using AudioShake’s Copyright Compliance System to find recordings in the mix, identify them, and return structured cue data for Cuetrak to process into a highly accurate cue sheet for any production.

Photo Credit: Music Reports

Creating accurate cue sheets is not merely a matter of listing songs contained in a production. Someone must first establish what recordings are in the content, when they begin, how long they play, and which copyright holders own them. That task becomes much harder when music is competing with the rest of a finished mix. Think of an underscore beneath dramatic dialogue in a movie, or a song under crowd noise and live commentary, or perhaps a needle drop buried inside an archival reel with little usable metadata. In these cases, someone is often left doing close listening, cleanup, and detective work to create the most accurate cue sheet possible.

“A two-hour broadcast can contain hundreds of music cues, and until now, someone had to find each one manually,” shares Jason Walker, Chief Executive Officer of Music Reports. “Accurate cue sheets are getting more attention across every content channel—social, live streams, TV, and podcasts—which means keeping up with music identification at that scale. Our detection and identification models hear the music inside any mix, even noisy or unlabeled content, and hand it to Cuetrak to build the cue sheet so the right publishers get paid for their work.”

The integration with AudioShake shifts this identification step to the start of the Cuetrak workflow. Users upload a media file, and AudioShake uses its audio-separation technology to isolate the music signal from dialogue, effects, narration, and ambient sound. It then detects where music occurs, identifies the recording in each cue, and returns data including track information, timing, and duration. Cuetrak then ingests that information, adds corresponding publishing information, and stages it in a cue sheet document for review, distribution, and reporting.

“Cue sheets are only as good as the data behind them, and identifying the recordings inside a piece of content has always been the hardest part of that work,” continues Walker. “With AudioShake, a Cuetrak user can upload a file and start from an accurate picture of what’s actually in it—which means faster, more complete reporting and fewer misdirected royalties.”

That means less time spent locating every buried cue and more time validating the results, resolving exceptions, and ensuring rights data is ready for reporting. It also means a more scalable route for handling back catalog projects, unfamiliar content libraries, and programming with dense music use.

AudioShake-powered automatic content recognition (ACR) joins Cuetrak’s wider set of cue sheet accelerators. Users can also begin with Excel templates, edit decision list (EDL) data, or Trevanna Tracks imports, not to mention using direct integration with Songdex to populate song information via drag and drop with zero keystroke errors. The point is flexibility: cue data does not always originate in the same place, and Cuetrak is custom-built to provide an efficient route to a completed cue sheet regardless of the starting format.

That flexibility matters across content verticals. The platform can support television, film, streaming, sports, video games, podcasts, fitness content, archival catalogs, and other audiovisual music-bearing formats. Each has its reporting complications, but the common factor is that all media needs dependable metadata to ensure rights holders are paid accurately and on time for their work.

Cue sheets will never be glamorous, but they are essential infrastructure for accurate music rights reporting. By harnessing AudioShake’s ACR for pinpointing and recognizing music in intricate audio combined with Cuetrak’s cue sheet reporting, Music Reports is striving to streamline cue sheet creation, making it quicker, more comprehensive, and ultimately more efficient for publishers awaiting their payments.