Is Brazilian music getting more predictable? A statistical physics approach for different music genres
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10174/30350 https://doi.org/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) https://doi.org/10.1016/j.physa.2021.126327) |
Resumo: | 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. |
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Is Brazilian music getting more predictable? A statistical physics approach for different music genresDetrended Fluctuation AnalysisMusic genrespredictabilityshuffleMusic 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.Elsevier2021-11-15T15:13:26Z2021-11-152021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/30350https://doi.org/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)http://hdl.handle.net/10174/30350https://doi.org/10.1016/j.physa.2021.126327)engpjsf@uevora.ptderickdq@usp.brbruna.wundervald@mu.ieandreia@uevora.ptndnd637Ferreira, PauloQuintino, DerickWundervald, BrunaDionísio, AndreiaAslam, FaheemCantarinha, Anainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T19:28:10Zoai:dspace.uevora.pt:10174/30350Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:19:46.233493Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Is Brazilian music getting more predictable? A statistical physics approach for different music genres |
title |
Is Brazilian music getting more predictable? A statistical physics approach for different music genres |
spellingShingle |
Is Brazilian music getting more predictable? A statistical physics approach for different music genres Ferreira, Paulo Detrended Fluctuation Analysis Music genres predictability shuffle |
title_short |
Is Brazilian music getting more predictable? A statistical physics approach for different music genres |
title_full |
Is Brazilian music getting more predictable? A statistical physics approach for different music genres |
title_fullStr |
Is Brazilian music getting more predictable? A statistical physics approach for different music genres |
title_full_unstemmed |
Is Brazilian music getting more predictable? A statistical physics approach for different music genres |
title_sort |
Is Brazilian music getting more predictable? A statistical physics approach for different music genres |
author |
Ferreira, Paulo |
author_facet |
Ferreira, Paulo Quintino, Derick Wundervald, Bruna Dionísio, Andreia Aslam, Faheem Cantarinha, Ana |
author_role |
author |
author2 |
Quintino, Derick Wundervald, Bruna Dionísio, Andreia Aslam, Faheem Cantarinha, Ana |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Ferreira, Paulo Quintino, Derick Wundervald, Bruna Dionísio, Andreia Aslam, Faheem Cantarinha, Ana |
dc.subject.por.fl_str_mv |
Detrended Fluctuation Analysis Music genres predictability shuffle |
topic |
Detrended Fluctuation Analysis Music genres predictability shuffle |
description |
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. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-11-15T15:13:26Z 2021-11-15 2021-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10174/30350 https://doi.org/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) http://hdl.handle.net/10174/30350 https://doi.org/10.1016/j.physa.2021.126327) |
url |
http://hdl.handle.net/10174/30350 https://doi.org/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) https://doi.org/10.1016/j.physa.2021.126327) |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
pjsf@uevora.pt derickdq@usp.br bruna.wundervald@mu.ie andreia@uevora.pt nd nd 637 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799136678965673984 |