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Drum tracks for electronic dance music are a central and style-defining element. But creating them can be a cumbersome task because of a lack of appropriate tools and input devices. The authors created a tool that supports musicians in an intuitive way for creating variations of drum patterns or finding inspiration for new patterns. Starting with a basic seed pattern provided by the user, a list of variations with varying degrees of similarity to the seed is generated. The variations are created using one of the three algorithms: a similarity-based lookup method using a rhythm pattern database, a generative approach based on a stochastic neural network, and a genetic algorithm using similarity measures as target function. Expert users in electronic music production evaluated aspects of the prototype and algorithms. In addition, a web-based survey was performed to assess perceptual properties of the variations in comparison to baseline patterns created by a human expert. The study shows that the algorithms produce musical and interesting variations and that the different algorithms have their strengths in different areas.
Author (s): Vogl, Richard; Leimeister, Matthias; Nuanáin, Carthach Ó; Jordà, Sergi; Hlatky, Michael; Knees, Peter
Affiliation:
Department of Computational Perception, Johannes Kepler University Linz, Austria; Native Instruments GmbH, Berlin, Germany; Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain
(See document for exact affiliation information.)
Publication Date:
2016-07-06
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Vogl, Richard; Leimeister, Matthias; Nuanáin, Carthach Ó; Jordà, Sergi; Hlatky, Michael; Knees, Peter; 2016; An Intelligent Interface for Drum Pattern Variation and Comparative Evaluation of Algorithms [PDF]; Department of Computational Perception, Johannes Kepler University Linz, Austria; Native Instruments GmbH, Berlin, Germany; Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain; Paper ; Available from: https://aes2.org/publications/elibrary-page/?id=18336
Vogl, Richard; Leimeister, Matthias; Nuanáin, Carthach Ó; Jordà, Sergi; Hlatky, Michael; Knees, Peter; An Intelligent Interface for Drum Pattern Variation and Comparative Evaluation of Algorithms [PDF]; Department of Computational Perception, Johannes Kepler University Linz, Austria; Native Instruments GmbH, Berlin, Germany; Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain; Paper ; 2016 Available: https://aes2.org/publications/elibrary-page/?id=18336
@article{vogl2016an,
author={vogl richard and leimeister matthias and nuanáin carthach ó and jordà sergi and hlatky michael and knees peter},
journal={journal of the audio engineering society},
title={an intelligent interface for drum pattern variation and comparative evaluation of algorithms},
year={2016},
volume={64},
issue={7/8},
pages={503-513},
month={july},}
TY – paper
TI – An Intelligent Interface for Drum Pattern Variation and Comparative Evaluation of Algorithms
SP – 503 EP – 513
AU – Vogl, Richard
AU – Leimeister, Matthias
AU – Nuanáin, Carthach Ó
AU – Jordà, Sergi
AU – Hlatky, Michael
AU – Knees, Peter
PY – 2016
JO – Journal of the Audio Engineering Society
VO – 64
IS – 7/8
Y1 – July 2016