Richard Vogl, Hamid Eghbal-Zadeh, Peter Knees,
"An Automatic Drum Machine with Touch UI Based on a Generative Neural Network"
: n Companion Proceedings of the 24th International Conference on Intelligent User Interfaces (IUI2019), 2019
An Automatic Drum Machine with Touch UI Based on a Generative Neural Network
Sprache des Titels:
n Companion Proceedings of the 24th International Conference on Intelligent User Interfaces (IUI2019)
Drum machines are an important tool for music production in the context of electronic dance music.
In this work we introduce a drum machine which automatically generates drum patterns according to the high-level stylistic cues of musical genre, complexity, and loudness, controlled by the user.
In comparable tools, usually a predefined collection of drum patterns serves as the source for suggestions.
In order to yield a greater variety of patterns and to create original patterns, we suggest the use of stochastic generative models.
Therefore, in this work, drum patterns are generated using a generative adversarial network, trained on a large-scale drum pattern library.
As a method to enter, edit, visualize, and generate patterns, a touch-based step sequencer interface is augmented with controls of the semantic dimensions of genre, complexity, and loudness.