ArticleRoyal Society open science2017
Multiple scaling behaviour and nonlinear traits in music scores.
Article in Royal Society open science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Article
- Stochastic properties of musical time series.Nature communications · 2024Article
- From signals to music: a bottom-up approach to the structure of neuronal activity.Frontiers in systems neuroscience · 2023Article
- Scaling behaviour in music and cortical dynamics interplay to mediate music listening pleasure.Scientific reports · 2019Article
- Melodies as Maximally Disordered Systems under Macroscopic Constraints with Musical Meaning.Entropy (Basel, Switzerland) · 2019Article
- The Musical Structure of Time in the Brain: Repetition, Rhythm, and Harmony in fMRI During Rest and Passive Movie Viewing.Frontiers in computational neuroscience · 2019Article
- Multiple scaling behaviour and nonlinear traits in music scores.Royal Society open science · 2017Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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