Artificial intelligence systems and methods for detecting musical infringement in symbolic music

A method for detecting musical infringement in symbolic music, the method comprising:

• receiving a first musical composition in a symbolic format that encodes musical elements;
• generating a set of k-mer sequences from the first musical composition, each k-mer sequence comprising a series of notes;
• indexing the set of k-mer sequences using a data structure configured to dynamically adjust query conditions for melody-only, rhythm-only, or combined melody-rhythm matches;
• comparing the k-mer sequences of the first musical composition to a plurality of k-mer sequences associated with a plurality of reference musical compositions stored in one or more databases;
• estimating a similarity measure between the first musical composition and at least one reference musical composition in the plurality of reference musical compositions;
• determining that the at least one reference musical composition has a similarity measure exceeding a similarity threshold;
• performing a local sequence alignment between the first musical composition and the at least one reference musical composition to account for transpositions, rest notes, and partial matches;
• determining whether the first musical composition includes content that infringes upon the at least one reference musical composition based on the local sequence alignment;
• and
• based on the determination, detecting music infringement by identifying that the first musical composition was recreated from copyrighted works, thus ensuring that content owners can detect unauthorized uses of their material.

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

• receiving a first musical composition in a symbolic format that encodes musical elements;
• generating a set of k-mer sequences from the first musical composition, each k-mer sequence comprising a series of notes;
• indexing the set of k-mer sequences using a data structure configured to dynamically adjust query conditions for melody-only, rhythm-only, or combined melody-rhythm matches;
• comparing the k-mer sequences of the first musical composition to a plurality of k-mer sequences associated with a plurality of reference musical compositions stored in one or more databases;
• estimating a similarity measure between the first musical composition and at least one reference musical composition in the plurality of reference musical compositions;
• determining that the at least one reference musical composition has a similarity measure exceeding a similarity threshold;
• performing a local sequence alignment between the first musical composition and the at least one reference musical composition to account for transpositions, rest notes, and partial matches;
• determining whether the first musical composition includes content that infringes upon the at least one reference musical composition based on the local sequence alignment;
• and
• based on the determination, detecting music infringement by identifying that the first musical composition was recreated from copyrighted works, thus ensuring that content owners can detect unauthorized uses of their material.