This is the accompanying website for the paper:
@inproceedings{LopezDM16_EDM_ISMIR, author = {Patricio L\'{o}pez-Serrano and Christian Dittmar and Meinard M{\"u}ller}, title = {Towards Modeling and Decomposing Loop-Based Electronic Music}, booktitle = {Proceedings of the International Society for Music Information Retrieval Conference ({ISMIR})}, address = {New York, USA}, year = {2016}, pages = {502--508}, url-pdf = {2016_LopezSerranoDM_DcomposingEDM_ISMIR_ePrint.pdf}, url-demo = {https://www.audiolabs-erlangen.de/resources/MIR/2016-ISMIR-EMLoop} }
Electronic Music (EM) is a popular family of genres which has increasingly received attention as a research subject in the field of MIR. A fundamental structural unit in EM are loops---audio fragments whose length can span several seconds. The devices commonly used to produce EM, such as sequencers and digital audio workstations, impose a musical structure in which loops are repeatedly triggered and overlaid. This particular structure allows new perspectives on well-known MIR tasks. In this paper we first review a prototypical production technique for EM from which we derive a simplified model. We then use our model to illustrate approaches for the following task: given a set of loops that were used to produce a track, decompose the track by finding the points in time at which each loop was activated. To this end, we repurpose established MIR techniques such as fingerprinting and non-negative matrix factor deconvolution.
Audio files licensed under Creative Commons Attribution-ShareAlike 4.0 International.
These are the tracks we used to evaluate the algorithms. You can build a replica of each track with the loops included in the dataset!
Click the button in the middle to activate the player.