Exploring the Perceptual Relevance of Inherent Variability of Drum Sounds

  • Matthias Rath
  • Marcel Wältermann
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4969)


It is common “beat programming” practice to construct rhythmic sequences in a one-sample-per-instrument manner. Sounds of separate strokes on a drum, however, generally are not really perceptually identical, even when played with identical intention on the side of the player. Moreover, such unavoidable individual variations go beyond the effects of amplitude scaling or simple linear (e.g., low- or high-pass) filtering. One first simple approach to examine effects of this fact is to construct rhythmical patterns using several samples of each instrument. Experiences in a first pilot study with such “drum-machine-like” patterns suggest that individual note–to–note differences have a relevant influence on the overall character of the musical results.


Sound Generation Dynamic Version Periodic Repetition Inherent Variability Pink Noise 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Massie, D.C.: Wavetable sampling synthesis. In: Kahrs, M., Brandenburg, K. (eds.) Applications of Digital Signal Processing to Audio and Acoustics. Springer, Netherlands (2002)Google Scholar
  2. 2.
  3. 3.
    Smith III, J.O.: Physical modeling synthesis update. Computer Music Journal 20(2), 44–56 (1996)CrossRefGoogle Scholar
  4. 4.
    Avanzini, F., Rath, M., Rocchesso, D.: Physically-based audio rendering of contact. In: ICME 2002 Proceedings. IEEE International Conference on Multimedia and Expo., vol. 2, pp. 445–448 (2002)Google Scholar
  5. 5.
    Zwicker, E., Fastl, H.: Psychoacoustics. Facts and Models, 2nd edn., Berlin (1999)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Matthias Rath
    • 1
  • Marcel Wältermann
    • 1
  1. 1.Deutsche Telekom Laboratories Quality and Usability LabBerlin University of Technology 

Personalised recommendations