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Articles

Perception of Timbre and Rhythm Similarity in Electronic Dance Music

, , , &
Pages 373-390 | Received 05 Jun 2015, Accepted 07 Oct 2015, Published online: 10 Nov 2015
 

Abstract

Music similarity is known to be a multi-dimensional concept, depending among others on rhythm similarity and timbre similarity. The present study aims to investigate whether such sub-dimensions of similarity can be assessed independently and how they relate to general similarity. To this end, we performed a series of web-based perceptual experiments on timbre, rhythm and general similarity in electronic dance music. Participants were asked to rate similarities of music pairs on a 4-point Likert scale. The results indicated that the ratings in the three types of similarity did not completely overlap and that participants showed slight to fair agreement in their ratings in all conditions. Together, the results suggest that it is possible to assess sub-dimensions of similarities independently to some extent. Interestingly, general music similarity was not completely explained by the summation of timbre and rhythm similarity. Based on this, a novel hypothesis of how general music similarity follows from its contributing sub-similarities is proposed.

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Erratum

Acknowledgements

The authors wish to thank Niels Bogaards for helping to create the music material sets. Furthermore, we would like to thank the anonymous reviewers for their valuable comments and suggestions to improve the manuscript.

Notes

1 The terms ‘subgenre’ and ‘style’ will be used interchangeably here, so as to cite the used resources as closely as possible. With both terms we mean the stylistic attributes of the music without the cultural context.

2 Music copyright issues for purposes of the experiments were dealt with Buma/Stemra association, http://www.bumastemra.nl/en/

Additional information

Funding

The first author is supported by the Netherlands Organization for Scientific research (NWO-VENI grant 639.021.126). The second author was supported by a grant from the Centre for Digital Humanities Amsterdam.

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