Date: 26.10.2011
Have you ever wondered why music generated by computers and rhythm machines sometimes sounds unnatural? One reason for this is the absence of small inaccuracies that are part of every human activity. Professional audio software therefore offers a so-called humanizing technique, by which the regularity of musical rhythms can be randomized to some extent.
But what exactly is the nature of the inaccuracy in human musical rhythms? Studying this question for the first time, we found that the temporal rhythmic fluctuations exhibit scale-free long-range correlations, i.e., a small rhythmic fluctuation at some point in time does not only influence fluctuations shortly thereafter, but even after tens of seconds. While this characterization is relevant for neurophysiological mechanisms of timing, it also leads to a novel concept for humanizing musical sequences. Comparing with conventionally humanized versions listeners showed a high preference for long-range correlated humanized music over uncorrelated humanized music. (Photo: Courtesy of Agbenyega Attiogbe-Redlich, www.hippocritz-school.com)


In this piece the first part shall be repeated once, note that due to the fluctuations added while humanizing, each line is unique, i.e. the repetition is not an exact repetition of the first part in case of the humanized pieces.
A third audio example from the pop genre also shows the different humanizing techniques (the difference is audible mainly in the rhythm)
First, sample A, then sample B is played, separated by a 5 sec. pause. The two samples differ only in the rhythmic structure, all other properties such as pitch and timbre are identical.The first part (sample A) of this audio example was humanized by introducing LRC (using Gaussian 1/f-noise), while for sample B the conventional humanizing technique using Gaussian white noise was applied. The standard deviation σ1/f = σWN = 15 ms of the time series of deviations used for humanizing was chosen rather large for the purpose of demonstration. The song was created and humanized in collaboration with Cubeaudio recording studio (Göttingen, Germany). We observed a clear preference for the 1/f humanizing over the white noise humanized version in our study.
Audio samples of humanized music can be found in the audio gallery.
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Original publication:
H. Hennig, R. Fleischmann, A. Fredebohm, Y. Hagmayer, J. Nagler, A. Witt, F.J. Theis, T. Geisel, PLoS ONE 6(10): e26457 (2011). Download the article (Feel free to post comments and questions there).
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