全球音乐多样性的例外和规则
Sam Passmore1,2, Patrick E Savage1,3
1Faculty of Environment and Information Studies, Keio University, Fujisawa, Japan.
Journal of cognition
|August 21, 2023
概括
这项研究结合了定量和定性方法来探索全球音乐多样性. 它通过分析歌曲变量来识别不寻常的音乐风格,揭示了歌曲的起源是其独特性最强的预测因素.
科学领域:
- 民族音乐学 民族音乐学
- 计算音乐学 计算音乐学
- 量化社会科学 量化社会科学
背景情况:
- 全球音乐多样性是通过科学 (一般性) 和人文 (例外) 镜头来研究的.
- 定义音乐非同寻常性的传统方法可以是主观的和欧洲中心的.
- 整合定量和定性方法提供了对音乐多样性的更全面的理解.
研究的目的:
- 开发一种客观的方法来识别和分析全球不同寻常的音乐风格.
- 将定量异常点检测与对独特音乐示例的定性分析相结合.
- 调查音乐异常的潜在预测因素,如社会组织和文化隔离.
主要方法:
- 使用了全球Jukebox数据集 (近6000首歌,1000多个社会,37个声度变量).
- 根据其编码的音乐风格变量的区域频率来定义歌曲的"不寻常性".
- 采用定量指标来确定异常值,并对案例研究进行定性分析.
主要成果:
- 使用定量指标确定了音乐多样性的异常值.
- 呈现了独特的歌曲 (例如,库尔斯克的松管乐队) 和曲目 (马来语,凯尔艾尔语,摩洛哥柏柏尔语) 的定性分析.
- 发现社会组织或孤立预测不寻常音乐的证据较弱;歌曲的起源是最强的预测因素.
结论:
- 定量指标可以客观地识别音乐异常,支持不同的音乐风格的存在.
- 结合计算和人文方法,丰富了对全球音乐多样性的研究.
- 音乐风格与起源社会密切相关,强调文化特异性.
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