Audio forensics meets Music Information Retrieval — A toolbox for inspection of music plagiarism

This paper presents a toolbox that has been developed in order to facilitate the inspection of suspected music plagiarism cases. The basic concept is the use of techniques from Music Information Retrieval for semi-automatic inspection of original and suspect song. Basic types of music plagiarism are discussed. Several signal processing approaches suitable to reveal these types are introduced. They are intended to be used under supervision of a human expert. Evaluation of the proposed methods in a non-supervised scenario is not within the scope of this paper.