A Survey of Evaluation in Music Genre Recognition

Conference paper

DOI: 10.1007/978-3-319-12093-5_2

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8382)
Cite this paper as:
Sturm B.L. (2014) A Survey of Evaluation in Music Genre Recognition. In: Nürnberger A., Stober S., Larsen B., Detyniecki M. (eds) Adaptive Multimedia Retrieval: Semantics, Context, and Adaptation. AMR 2012. Lecture Notes in Computer Science, vol 8382. Springer, Cham

Abstract

Much work is focused upon music genre recognition (MGR) from audio recordings, symbolic data, and other modalities. While reviews have been written of some of this work before, no survey has been made of the approaches to evaluating approaches to MGR. This paper compiles a bibliography of work in MGR, and analyzes three aspects of evaluation: experimental designs, datasets, and figures of merit.

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Audio Analysis Lab, AD:MTAalborg University CopenhagenCopenhagen SVDenmark

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