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
Original Titel:
An Automatic Drum Machine with Touch UI Based on a Generative Neural Network
Sprache des Titels:
Englisch
Original Buchtitel:
n Companion Proceedings of the 24th International Conference on Intelligent User Interfaces (IUI2019)
Original Kurzfassung:
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.
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