Cover Song Identification Technologies: A Survey

Yang Zheng, Jie Liu, Wu Shu Zhang

Abstract: Cover Song Identification (CSI) is a highly crucial task in the field of Music Information Retrieval (MIR) and holds significant importance in the domain of copyright infringement detection. With the widespread adoption of digital music and the online dissemination of musical works, issues related to music copyright violations have become increasingly prevalent and severe. Music copyright holders and creators face the risk of their musical compositions being copied, interpreted, distributed, or pirated without proper authorization, leading to potential misuse of their works and causing financial losses, as well as reputational damage. As a result, cover song identification technology has emerged as a vital tool for safeguarding music copyrights and preserving the legitimate rights of creators. In essence, the significance of cover song identification in the context of copyright infringement detection lies not only in the protection of music copyrights but also in maintaining a healthy ecosystem for music rights. Furthermore, it enhances the user experience on music platforms by preventing unauthorized cover versions from infiltrating recommendation systems.In conclusion, cover song identification technology provides robust support for the sustainable development of the music industry and the protection of creators’ legitimate rights. It plays an indispensable role in ensuring the long-term prosperity of the music sector. This article aims to provide a comprehensive exposition of cover song identification technologies.

External IDs:doi:10.1145/3638884.3638891