Abstract: A method and system classify media content items and then identify a subset of the classified media content items. In embodiments, audio features of a plurality of media content items are processed by one or more machine learning model to classify each of the media content items as containing music or not containing music. Those media content items not containing music are filtered out, digital fingerprints of those media content items that contain music are generated, and the digital fingerprints are used to identify those media content items that contain music.

Abstract: An unidentified media content item may be received by a processing device. A set of features of the unidentified media content item may be determined. Metadata associated with the unidentified media content item may be determined. A first similarity between the metadata associated with the unidentified media content item and additional metadata associated with a known media content item from a media content repository may be determined. A second similarity between the set of features of the unidentified media content item and an additional set of features associated with the known media content item may be determined. The unidentified media content item may be identified as a cover of the known media content item based on the first similarity and the second similarity by the processing device.

Abstract: An unidentified media content item may be received by a processing device. A set of features of the unidentified media content item may be determined. Metadata associated with the unidentified media content item may be determined. A first similarity between the metadata associated with the unidentified media content item and additional metadata associated with a known media content item from a media content repository may be determined. A second similarity between the set of features of the unidentified media content item and an additional set of features associated with the known media content item may be determined. The unidentified media content item may be identified as a cover of the known media content item based on the first similarity and the second similarity by the processing device.

Abstract: A media content item may be received by a first processing device. A set of features of the media content item may be determined. The set of features determined from the media content item may be analyzed using a media classification profile comprising a first model for a first class of media content items and a second model for a second class of media content items. Whether the media content item belongs to the first class of media content items or the second class of the media content items may be determined based on a result of the analysis. Responsive to determining that the media content item belongs to the first class, either a portion of the media content item or a digital fingerprint of the media content item may be sent to a second processing device for further processing.