Claraprint: a chord and melody based fingerprint for western classical music cover detection
This addresses the problem of efficiently retrieving cover songs in Western classical music, which is a domain-specific and incremental contribution.
The paper tackles cover song detection for Western classical music by proposing a chord and melody based fingerprint algorithm, and it introduces a new dataset to encourage further research in this genre.
Cover song detection has been an active field in the Music Information Retrieval (MIR) community during the past decades. Most of the research community focused in solving it for a wide range of music genres with diverse characteristics. Western classical music, a genre heavily based on the recording of "cover songs", or musical works, represents a large heritage, offering immediate application for an efficient fingerprint algorithm. We propose an engineering approach for retrieving a cover song from a reference database thanks to a fingerprint designed for classical musical works. We open a new data set to encourage the scientific community to use it for further researches regarding this genre.