Research on character tone trend clustering of Kunqu Opera based on quantum adaptive genetic algorithm.
Kunqu, one of the oldest forms of Chinese opera, features a unique artistic expression arising from the interplay between vocal melody and the tonal quality of its lyrics. Identifying Kunqu's character tone trend (vocal melodies derived from tonal quality of the lyrics) is critical to understanding...
| Publicado en: | Digital Scholarship in the Humanities Vol. 39; no. 1; pp. 393 - 409 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Oxford University Press / USA
Apr2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=176806332&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 176806332 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Apr2024 vid: 39 iid: 1 pid: 622 pub: Oxford University Press / USA artinfo: ui: 176806332 10.1093/llc/fqad074 ppf: 393 ppct: 16 formats: fmt: – @attributes: type: T – @attributes: type: P size: 830KB tig: atl: Research on character tone trend clustering of Kunqu Opera based on quantum adaptive genetic algorithm. aug: au: Tian, Rui Yin, Ruheng Ban, Junrong affil: School of Art, Culture and Tourism Industry Think Tank Chinese Art Evaluation Institute, Southeast University , Nanjing, China School of Art, Nanjing University of Aeronautics and Astronautics , Nanjing, China su: Machine learning Opera Genetic algorithms Cluster analysis (Statistics) Musicologists Computer simulation sug: subj: Machine learning Opera Genetic algorithms Cluster analysis (Statistics) Musicologists Computer simulation keyword: character cluster analysis Kunqu Opera quantum genetic algorithm tone trend ab: Kunqu, one of the oldest forms of Chinese opera, features a unique artistic expression arising from the interplay between vocal melody and the tonal quality of its lyrics. Identifying Kunqu's character tone trend (vocal melodies derived from tonal quality of the lyrics) is critical to understanding and preserving this art form. Traditional research methods, which rely on qualitative descriptions by musicologists, have often been debated due to their subjective nature. In this study, we present a novel approach to analyze the character tone trend in Kunqu by employing computer modeling machine learning techniques. By extracting the character tone trend of Kunqu using computational modeling methods and employing machine learning techniques to apply cluster analysis on Kunqu's character tone melody, our model uncovers musical structural patterns between singing and speech, validating and refining the qualitative findings of musicologists. Furthermore, our model can automatically assess whether a piece adheres to the rhythmic norms of 'the integration of literature and music' in Kunqu, thus contributing to the digitization, creation, and preservation of this important cultural heritage. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Digital Scholarship in the Humanities holder: Oxford University Press / USA dt: @attributes: year: 2024 holdings: @attributes: islocal: N |
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