Development of a Rhythm Similarity Model for Electronic Dance Music
Maria Panteli, Bruno Rocha, Niels Bogaards, Aline Honingh · Data Archiving and Networked Services (DANS) · 2014
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.