AudioShake's Cue Sheet Generation model automatically detects music within audio content and produces structured cue sheet data — replacing manual music logging in broadcast and film workflows. Cue sheets log every piece of music used in a programme, including timing and usage type, for submission to performance rights organisations and publishers. The output feeds directly into Commercial Music Removal workflows when tracks also need to be stripped after detection.

AudioShake's Music Detection identifies and classifies music within audio content — locating where music starts and stops, detecting track identities, and flagging licensed or copyrighted material. This is used by broadcasters, streaming platforms, and content distributors to audit content libraries for unlicensed music before distribution, and to produce the usage data required for performance rights reporting.

AudioShake supports audio analysis workflows by separating mixed recordings into clean, individual audio components that give analysis algorithms a cleaner signal to work with. Music detection, speech analytics, speaker recognition, content classification, and rights management all benefit from AudioShake's separation as a pre-processing step.