Machine learning-based systems and methods for automatically removing protected content from a raw media item

Abstract

A computer-implemented method includes receiving a subscriber-initiated request to remove protected content from a raw media item, detecting a plurality of acoustic features associated with the raw media item, based on the plurality of acoustic features indicating that the raw media item includes the one or more protected media assets, automatically routing the raw media item to an audio sanitization service, separating, in response to the audio sanitization service executing a plurality of audio separation machine learning models, the one or more protected media assets from non-protected portions of the raw media item to generate a plurality of sanitized instances of the raw media item; and returning, as a response to the subscriber-initiated request, the plurality of sanitized instances of the raw media item to prevent unauthorized electronic distribution of the one or more protected media assets within the raw media item.