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Code to analyze the informational complexity of modern Western music
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README.md
bb_songids.txt
duplicates.txt
filtered_songids.txt
music-complexity_data_analysis.ipynb
music-complexity_data_processing.ipynb
my_duplicates.txt

README.md

Evolution of the Informational Complexity of Contemporary Western Music

This code was written to analyze the evolution of informational complexity of the Million Song Dataset (MSD) [1], using conditional entropy of codewords [2] as the measure of complexity. The complexity of the overall MSD was compared with those songs found on the Billboard Hot 100 from [3].

The corresponding paper has been accepted to the ISMIR 2019 conference.

References:

  • Thierry Bertin-Mahieux, Daniel P.W. Ellis, Brian Whitman, and Paul Lamere. The million song dataset. In Proceedings of the 12th International Conference on Music Information Retrieval (ISMIR 2011), 2011.

  • Joan Serrà, Álvaro Corral, Marián Boguñá, Martín Haro, and Josep Ll Arcos. Measuring the evolution of contemporary western popular music. Scientific reports, 2, 2012.

  • Matthias Mauch, Robert M MacCallum, Mark Levy, and Armand M Leroi. The evolution of popular music: USA 1960-2010. arXiv preprint arXiv:1502.05417, 2015.

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