Music Reports Integrates AudioShake's Music Detection and Identification System Into Cuetrak®

Cuetrak® users can upload a media file and receive a cue sheet, with improved timing and content accuracy enabled by AudioShake’s Copyright Compliance System

LOS ANGELES, CA, UNITED STATES, September 8, 2026 /EINPresswire.com/ -- Music Reports, the world's leading provider of objective music rights data and administration services, today announced an integration of AudioShake's Music Detection and Identification technology into Cuetrak^®, its cue sheet and analytics platform. With the integration, Cuetrak^® users can upload a media file and receive a cue sheet report, leveraging AudioShake’s proprietary isolation software to detect and identify the music in the content, which Cuetrak^® uses to generate a cue sheet report.

Accurate cue sheets depend on identifying every piece of music in a production: where each track starts, who it belongs to, and how long it plays. With content volume rising faster than ever, cue sheet creation presents a bottleneck that manual processes struggle to keep up with. Incomplete or inaccurate data feeds the industry's "black box," the pool of unmatched royalties that never reach the rights holders who earned them. AudioShake’s Music Detection and Identification tools remove one of the most manual and error-prone steps in the reporting workflow: determining exactly when music appears in a piece of content, what that content is, and who owns the rights to it.

"Cue sheets are only as good as the data behind them, and identifying the music inside a piece of content has always been the hardest part of that work," said Jason Walker, CEO of Music Reports. "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 royalties lost to the black box."

How AudioShake Accelerates Cue Sheet Reporting with Cuetrak^®

In finished content, music rarely plays alone. Instead, music often sits alongside dialogue, sound effects, crowd noise, and narration, and the more it's buried, the harder it is to recognize. This leads to tedious clean-up work by editors and supervisors, who must clean up inaccurate entries–or face the consequences of misidentified copyrights.

Music Reports’ integration of AudioShake adds an automated music detection and identification step to the front of the Cuetrak^® workflow. When a user uploads a media file, AudioShake leverages its industry-leading sound separation technology to first separate the music within the audio and create a clean, isolated music track. Working from that isolated signal rather than the full mix, it detects where music is present and identifies each cue, returning structured data such as track, timing, and duration.

Cuetrak^® then ingests that identification data and stages it into a cue sheet document suitable for distribution and reporting. Cue sheets are ready for review in a fraction of the time they would take to build from scratch.

This sequence is what makes the hard cases manageable: a score under a tense scene, a needle-drop competing with a play-by-play call, a cue in an unlabeled archival reel — each is isolated and identified on its own, rather than competing with the noise around it.

"A two-hour broadcast can contain hundreds of music cues, and until now, someone had to find each one manually,” said Jason Walker, CEO of Music Reports. “Accurate cue sheets are getting more attention across every content channel – social, live streams, TV, 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 publishers get paid for their work."

For Cuetrak^® users, AudioShake’s music detection and identification is designed to:

Accelerate cue sheet creation by replacing manual music identification with an automated first pass from a single file upload.

Improve accuracy and completeness, capturing cues that manual review can miss in dense or unlabeled content.

Reduce royalty leakage by feeding more complete usage data into reporting, so fewer earnings go unmatched in the black box.

Scale cue sheet reporting across formats, including film, television, games, podcasts, fitness, and other emerging media, and across back-catalog and archival content that previously required manual workflows.

Accessing Cuetrak^®

Existing Cuetrak^® clients can enable access to the AudioShake-powered upload workflow within the platform. Contact your Music Reports contact for more details. New clients can get started at musicreports.com/Cuetrak or by contacting the Music Reports team at info@cuetrak.com.

Ryan Seaton
Music Reports
+1 818-558-1400
email us here
Visit us on social media:
LinkedIn