Development of a rhythm similarity model for electronic dance music

Maria Panteli*, Bruno Rocha, Niels Bogaards, Aline Honingh

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review


This research investigates rhythmic similarity in Electronic Dance Music (EDM). Rhythm in EDM is built on the concept of a 'loop', a repeating pattern often associated with a four-measure percussive pattern. In our model, music tracks are segmented using a structural segmentation algorithm developed in previous research, and features are extracted from the audio. A segment is split into different streams of rhythmic patterns, where each pattern is described with three attributes: a) characterization of attacks, b) periodicity of rhythmic elements, and c) metrical distribution of onsets. These attributes for all patterns within a segment contribute to the rhythm characterization of that segment. Finally, an algorithm is developed to measure similarity between segments.

Original languageEnglish
Title of host publication53rd AES International Conference 2014
Subtitle of host publicationSemantic Audio
PublisherAudio Engineering Society
Number of pages2
ISBN (Print)9781632662842
Publication statusPublished - 1 Jan 2014
Externally publishedYes
Event53rd AES International Conference 2014: Semantic Audio - London, United Kingdom
Duration: 26 Jan 201429 Jan 2014

Publication series

NameProceedings of the AES International Conference


Conference53rd AES International Conference 2014: Semantic Audio
Country/TerritoryUnited Kingdom


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