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R. Vogl, P. Knees:
"An Intelligent Drum Machine for Electronic Dance Music Production and Performance";
Poster: 17th International Conference on New Interfaces for Musical Expression, Copenhagen, Denmark; 2017-05-15 - 2017-05-18; in: "Proceedings of the 17th International Conference on New Interfaces for Musical Expression", (2017), 231 - 236.

An important part of electronic dance music (EDM) is the so-called beat. It is defined by the drum track of the piece and is a style defining element. While producing EDM, creating the drum track tends to be delicate, yet labor intensive work. In this work we present a touch-interface-based prototype with the goal to simplify this task. The prototype aims at supporting musicians to create rhythmic patterns in the context of EDM production and live performances. Starting with a seed pattern which is provided by the user, a list of variations with varying degree of deviation from the seed pattern is generated. The interface provides simple ways to enter, edit, visualize and browse through the patterns. Variations are generated by means of an artificial neural network which is trained on a database of drum rhythm patterns extracted from a commercial drum loop
library. To evaluate the user interface as well as the quality of the generated patterns a user study with experts in EDM production was conducted. It was found that participants
responded positively to the user interface and the quality of the generated patterns. Furthermore, the experts consider the prototype helpful for both studio production situations and live performances.

drum pattern generation, machine learning, user interfaces

http://www.nime.org/proceedings/2017/nime2017_paper0047.pdf

Project Head Peter Knees:
SmarterJam