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Multiple scaling behavior and nonlinear traits in music scores

2017/08/21 by Alfredo González-Espinoza, Hernán Larralde, González-Espinoza, Alfredo +5
Economics, Econometrics and Finance · Environmental Science · Physics and Astronomy · #Chaos control and synchronization #Complex Systems and Time Series Analysis #Ecosystem dynamics and resilience #FOS: Physical sciences #Physics and Society (physics.soc-ph)

paper · pdf · doi:10.48550/arxiv.1708.08982

openalex publication_date 2017/08/21 · openalex created_date 2017/09/15 · openalex updated_date 2026/07/28

Abstract

We present a statistical analysis of music scores from different composers using detrended fluctuation analysis. We find different fluctuation profiles that correspond to distinct auto-correlation structures of the musical pieces. Further, we reveal evidence for the presence of nonlinear auto-correlations by estimating the detrended fluctuation analysis 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.

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