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http://hdl.handle.net/10174/30350
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Title: | Is Brazilian music getting more predictable? A statistical physics approach for different music genres |
Authors: | Ferreira, Paulo Quintino, Derick Wundervald, Bruna Dionísio, Andreia Aslam, Faheem Cantarinha, Ana |
Keywords: | Detrended Fluctuation Analysis Music genres predictability shuffle |
Issue Date: | 2021 |
Publisher: | Elsevier |
Citation: | Ferreira, P.; Quintino, D.; Wundervald B.; Dionísio, A.; Faheem, A.; Cantarinha, A. (2021). Is Brazilian music getting more predictable? A statistical physics approach for different music genres, Physica A. (https://doi.org/10.1016/j.physa.2021.126327) |
Abstract: | Music is an important part of most people's lives and also of the culture of a country. Moreover, the different
characteristics of songs, such as genre and the chord sequences, could have different impacts on individual
behaviours. Even considering just seven chords and the respective variations, originality can be a crucial element
of a song's success. Considering this, and in the context of Brazilian music, we employed the Detrended
Fluctuation Analysis to analyse the possible predictability of eight different music genres. On these genres, we
found that Reggae and Pop seem to be the least random considering the sequenced use of chords. With a sliding
windows approach, we found that the predictability of chord sequences of Pop decreased over time. Applying
the same methodology after shuffling the original series of music, the results point to a randomness of those
shuffled series, demonstrating the robustness of our approach. |
URI: | http://hdl.handle.net/10174/30350 |
Type: | article |
Appears in Collections: | CEFAGE - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
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