Digital sampling can be defined as the use of a fragment of another artist’s recording in a new work, and is common practice in popular music production since the 1980’s. Knowledge on the origins of samples hold valuable musicological information, which could in turn be used to organise music collections. Yet the automatic recognition of samples has not been addressed in the music retrieval community. In this paper, we introduce the problem, situate it in the field of content-based music retrieval and present a first strategy to approach it. Evaluation confirms that our modified optimised fingerprinting approach is indeed a viable strategy.
J. Van Balen, M. Haro, and J. Serrà. Automatic identification of samples in hip hop music. Proc. of the Int. Symp. on Computer Music Modeling and Retrieval (CMMR), pp. 544-551. London, UK. June 2012.