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• W2963291982 startingPage "171282" @default.
• W2963291982 abstract "We present a statistical analysis of music scores from different composers using detrended fluctuation analysis (DFA). We find different fluctuation profiles that correspond to distinct autocorrelation structures of the musical pieces. Further, we reveal evidence for the presence of nonlinear autocorrelations by estimating the DFA of the magnitude series, a result validated by a corresponding study of appropriate surrogate data. The amount and the character of nonlinear correlations vary from one composer to another. Finally, we performed a simple experiment in order to evaluate the pleasantness of the musical surrogate pieces in comparison with the original music and find that nonlinear correlations could play an important role in the aesthetic perception of a musical piece." @default.
• W2963291982 created "2019-07-30" @default.
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• W2963291982 date "2017-12-01" @default.
• W2963291982 modified "2023-10-13" @default.
• W2963291982 title "Multiple scaling behaviour and nonlinear traits in music scores" @default.
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• W2963291982 doi "https://doi.org/10.1098/rsos.171282" @default.
• W2963291982 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5750023" @default.
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