Bell Shape Embodying Zhongyong
Autor(a) principal: | |
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Data de Publicação: | 2022 |
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/10362/145647 |
Resumo: | Funding Information: The APC was funded by Open Access Initiative of the University of Bremen and the DFG via SuUB Bremen. Publisher Copyright: © 2022 by the authors. |
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7160 |
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Bell Shape Embodying ZhongyongThe Pitch Histogram of Traditional Chinese Anhemitonic Pentatonic Folk Songsanhemitonic pentatonicChinese musiccomputational musicologymachine learningmerged pitch histogrammusic educationmusic information retrievalpentatonicpitch distributionpitch histogramMaterials Science(all)InstrumentationEngineering(all)Process Chemistry and TechnologyComputer Science ApplicationsFluid Flow and Transfer ProcessesFunding Information: The APC was funded by Open Access Initiative of the University of Bremen and the DFG via SuUB Bremen. Publisher Copyright: © 2022 by the authors.As an essential subset of Chinese music, traditional Chinese folk songs frequently apply the anhemitonic pentatonic scale. In music education and demonstration, the Chinese anhemitonic pentatonic mode is usually introduced theoretically, supplemented by music appreciation, and a non-Chinese-speaking audience often lacks a perceptual understanding. We discovered that traditional Chinese anhemitonic pentatonic folk songs could be identified intuitively according to their distinctive bell-shaped pitch distribution in different types of pitch histograms, reflecting the Chinese characteristics of Zhongyong (the doctrine of the mean). Applying pitch distribution to the demonstration of the Chinese anhemitonic pentatonic folk songs, exemplified by a considerable number of instances, allows the audience to understand the culture behind the music from a new perspective by creating an auditory and visual association. We have also made preliminary attempts to feature and model the observations and implemented pilot classifiers to provide references for machine learning in music information retrieval (MIR). To the best of our knowledge, this article is the first MIR study to use various pitch histograms on traditional Chinese anhemitonic pentatonic folk songs, demonstrating that, based on cultural understanding, lightweight statistical approaches can progress cultural diversity in music education, computational musicology, and MIR.DF – Departamento de FísicaLIBPhys-UNLRUNLiu, HuiJiang, KunGamboa, HugoXue, TingtingSchultz, Tanja2022-11-18T22:13:36Z2022-082022-08-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article20application/pdfhttp://hdl.handle.net/10362/145647eng2076-3417PURE: 47342583https://doi.org/10.3390/app12168343info: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:RCAAP2024-05-22T18:06:48Zoai:run.unl.pt:10362/145647Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-22T18:06:48Repositório 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 |
Bell Shape Embodying Zhongyong The Pitch Histogram of Traditional Chinese Anhemitonic Pentatonic Folk Songs |
title |
Bell Shape Embodying Zhongyong |
spellingShingle |
Bell Shape Embodying Zhongyong Liu, Hui anhemitonic pentatonic Chinese music computational musicology machine learning merged pitch histogram music education music information retrieval pentatonic pitch distribution pitch histogram Materials Science(all) Instrumentation Engineering(all) Process Chemistry and Technology Computer Science Applications Fluid Flow and Transfer Processes |
title_short |
Bell Shape Embodying Zhongyong |
title_full |
Bell Shape Embodying Zhongyong |
title_fullStr |
Bell Shape Embodying Zhongyong |
title_full_unstemmed |
Bell Shape Embodying Zhongyong |
title_sort |
Bell Shape Embodying Zhongyong |
author |
Liu, Hui |
author_facet |
Liu, Hui Jiang, Kun Gamboa, Hugo Xue, Tingting Schultz, Tanja |
author_role |
author |
author2 |
Jiang, Kun Gamboa, Hugo Xue, Tingting Schultz, Tanja |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
DF – Departamento de Física LIBPhys-UNL RUN |
dc.contributor.author.fl_str_mv |
Liu, Hui Jiang, Kun Gamboa, Hugo Xue, Tingting Schultz, Tanja |
dc.subject.por.fl_str_mv |
anhemitonic pentatonic Chinese music computational musicology machine learning merged pitch histogram music education music information retrieval pentatonic pitch distribution pitch histogram Materials Science(all) Instrumentation Engineering(all) Process Chemistry and Technology Computer Science Applications Fluid Flow and Transfer Processes |
topic |
anhemitonic pentatonic Chinese music computational musicology machine learning merged pitch histogram music education music information retrieval pentatonic pitch distribution pitch histogram Materials Science(all) Instrumentation Engineering(all) Process Chemistry and Technology Computer Science Applications Fluid Flow and Transfer Processes |
description |
Funding Information: The APC was funded by Open Access Initiative of the University of Bremen and the DFG via SuUB Bremen. Publisher Copyright: © 2022 by the authors. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-11-18T22:13:36Z 2022-08 2022-08-01T00:00:00Z |
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/10362/145647 |
url |
http://hdl.handle.net/10362/145647 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2076-3417 PURE: 47342583 https://doi.org/10.3390/app12168343 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
20 application/pdf |
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 |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
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 |
mluisa.alvim@gmail.com |
_version_ |
1817545899271782400 |