Artificial intelligence system for detecting musical infringement through similarity analysis

A system for detecting musical infringement, the system comprising:

• one or more processors;
• and
• one or more memories configured to store instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
• generating, using a neural embedding model, a first embedding of a first musical composition in a shared embedding space;
• comparing the first embedding to a plurality of reference embeddings in the shared embedding space, wherein each reference embedding of the plurality of reference embeddings corresponds to a respective reference musical composition of a plurality of reference musical compositions;
• identifying, based on the comparing, at least one reference musical composition of the plurality of reference musical compositions for which a distance in the shared embedding space between the first embedding and a reference embedding of the at least one reference musical composition satisfies a similarity criterion;
• determining, based on the identifying, whether the first musical composition includes content that regurgitates a portion of the at least one reference musical composition;
• and
• generating, based on the determining, an output indicating that the first musical composition includes regurgitated content corresponding to the at least one reference musical composition.

One or more non-transitory, computer-readable media storing instructions thereon that, when executed by one or more processors, cause the one or more processors to perform operations comprising:

• generating, using a neural embedding model, a first embedding of a first musical composition in a shared embedding space;
• comparing the first embedding to a plurality of reference embeddings in the shared embedding space, wherein each reference embedding of the plurality of reference embeddings corresponds to a respective reference musical composition of a plurality of reference musical compositions;
• identifying, based on the comparing, at least one reference musical composition of the plurality of reference musical compositions for which a distance in the shared embedding space between the first embedding and a reference embedding of the at least one reference musical composition satisfies a similarity criterion;
• determining, based on the identifying, whether the first musical composition includes content that regurgitates a portion of the at least one reference musical composition;
• and
• generating, based on the determining, an output indicating that the first musical composition includes regurgitated content corresponding to the at least one reference musical composition.