Complexity-entropy causality plane: a useful approach for distinguishing songs

Abstract

Nowadays we are often faced with huge databases resulting from the rapid growth of data storage technologies. This is particularly true when dealing with music databases. In this context, it is essential to have techniques and tools able to discriminate properties from these massive sets. In this work, we report on a statistical analysis of more than ten thousand songs aiming to obtain a complexity hierarchy. Our approach is based on the estimation of the permutation entropy combined with an intensive complexity measure, building up the complexity-entropy causality plane. The results obtained indicate that this representation space is very promising to discriminate songs as well as to allow a relative quantitative comparison among songs. Additionally, we believe that the here-reported method may be applied in practical situations since it is simple, robust and has a fast numerical implementation.

Accepted for publication in Physica A

References in corpus (7)

• Uncovering collective listening habits and music genres in bipartite networks
• Inferring long memory processes in the climate network via ordinal pattern analysis
• On the genre-fication of Music: a percolation approach (long version)
• Community structures and role detection in music networks
• Endo- vs. Exo-genous shocks and relaxation rates in book and music "sales"
• Musical Genres: Beating to the Rhythms of Different Drums
• Universal patterns in sound amplitudes of songs and music genres

Cited by in corpus (11)

• Clustering patterns in efficiency and the coming-of-age of the cryptocurrency market
• Complexity-Entropy Causality Plane as a Complexity Measure for Two-dimensional Patterns
• ordpy: A Python package for data analysis with permutation entropy and ordinal network methods
• MFDFA: Efficient Multifractal Detrended Fluctuation Analysis in Python
• Characterizing Time Series via Complexity-Entropy Curves
• Discriminating image textures with the multiscale two-dimensional complexity-entropy causality plane
• Estimating physical properties from liquid crystal textures via machine learning and complexity-entropy methods
• Collective dynamics of stock market efficiency
• Characterization of Time Series Via Rényi Complexity-Entropy Curves
• Clustering free-falling paper motion with complexity and entropy
• Cryptocurrency Time Series on the Binary Complexity-Entropy Plane: Ranking Efficiency from the Perspective of Complex Systems