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The Nature and Perception of Fluctuations in Human Musical Rhythms

Overview of attention for article published in PLOS ONE, October 2011
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Title
The Nature and Perception of Fluctuations in Human Musical Rhythms
Published in
PLOS ONE, October 2011
DOI 10.1371/journal.pone.0026457
Pubmed ID
Authors

Holger Hennig, Ragnar Fleischmann, Anneke Fredebohm, York Hagmayer, Jan Nagler, Annette Witt, Fabian J. Theis, Theo Geisel

Abstract

Although human musical performances represent one of the most valuable achievements of mankind, the best musicians perform imperfectly. Musical rhythms are not entirely accurate and thus inevitably deviate from the ideal beat pattern. Nevertheless, computer generated perfect beat patterns are frequently devalued by listeners due to a perceived lack of human touch. Professional audio editing software therefore offers a humanizing feature which artificially generates rhythmic fluctuations. However, the built-in humanizing units are essentially random number generators producing only simple uncorrelated fluctuations. Here, for the first time, we establish long-range fluctuations as an inevitable natural companion of both simple and complex human rhythmic performances. Moreover, we demonstrate that listeners strongly prefer long-range correlated fluctuations in musical rhythms. Thus, the favorable fluctuation type for humanizing interbeat intervals coincides with the one generically inherent in human musical performances.

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The data shown below were compiled from readership statistics for 215 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 5%
Japan 4 2%
Switzerland 2 <1%
Norway 2 <1%
Germany 2 <1%
Brazil 2 <1%
United Kingdom 2 <1%
France 1 <1%
Finland 1 <1%
Other 6 3%
Unknown 183 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 63 29%
Researcher 44 20%
Student > Master 30 14%
Student > Bachelor 14 7%
Professor 13 6%
Other 33 15%
Unknown 18 8%
Readers by discipline Count As %
Psychology 35 16%
Agricultural and Biological Sciences 34 16%
Physics and Astronomy 29 13%
Computer Science 18 8%
Arts and Humanities 18 8%
Other 57 27%
Unknown 24 11%