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.

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.

Abstract: One embodiment provides a method of sound source enumeration and direction of arrival (DoA) estimation. The method, the method includes estimating, by an enumeration module, a number of sound sources associated with an acoustic signal. The estimating includes selecting a specific parametric model from a generalized model. The generalized model is related to a microphone array architecture used to capture the acoustic signal. The method further includes estimating, by a DoA module, a direction of arrival of each sound source of the number of sound sources based, at least in part, on the selected model. The estimating the number of sound sources and estimating the DoA of each sound source are performed using a Bayesian framework.

Abstract: One embodiment provides a method of sound source enumeration and direction of arrival (DoA) estimation. The method, the method includes estimating, by an enumeration module, a number of sound sources associated with an acoustic signal. The estimating includes selecting a specific parametric model from a generalized model. The generalized model is related to a microphone array architecture used to capture the acoustic signal. The method further includes estimating, by a DoA module, a direction of arrival of each sound source of the number of sound sources based, at least in part, on the selected model. The estimating the number of sound sources and estimating the DoA of each sound source are performed using a Bayesian framework.