在不同时期的音乐即兴演奏中,不确定性和预测错误的时间动态
Tatsuya Daikoku1,2,3
1Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656, Japan. daikoku.tatsuya@mail.u-tokyo.ac.jp.
Scientific reports
|September 28, 2024
概括
音乐即兴表演通过惊喜和不确定性的时间模式来揭示个性. 这些模式在各个时代都发生了变化,显示了爵士音乐家如何随着时间的推移而调整他们的即兴演奏方法.
科学领域:
- 认知科学 认知科学
- 音乐学 音乐学 音乐学
- 计算语言学 计算语言学
背景情况:
- 人类的即兴表演,就像说话一样,反映了个人的经历和情绪状态.
- 在即兴演奏中传达个性的特定音乐元素尚未得到充分理解.
- 统计学习和预测处理的认知过程是理解即兴表演的关键.
研究的目的:
- 研究音乐即兴创作的不确定性和惊喜的时间动态.
- 识别音乐组件,揭示个性跨越不同的历史时期.
- 探索统计学学习在即兴音乐演变中的作用.
主要方法:
- 分析了78位音乐家的456首爵士乐即兴演奏 (1905年至2009年).
- 应用层次贝叶斯统计学习 (HBSL) 模型.
- 检查音调,节奏和音调-节奏序列中的时间动态.
主要成果:
- 发现了惊喜和不确定性的独特时间模式,特别是在音调和音调节律序列中.
- 从20世纪初到21世纪,出现了特定时代的特征.
- 节奏序列在各个时代都显示出一致的不确定性,而声学特性保持不变.
结论:
- 惊喜和不确定性的时间动态在各个时代演变,影响即兴方法.
- 适应性统计学习机制很可能推动即兴音乐的发展.
- 即兴转变反映了艺术家对文化时代精神和情感背景的适应.
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