Nakayama Shinnosuke, Soman Vrishin R, Porfiri Maurizio
Department of Mechanical and Aerospace Engineering, New York University Tandon School of Engineering, 6 MetroTech Center, Brooklyn, NY 11201, USA.
Department of Biomedical Engineering, New York University Tandon School of Engineering, 6 MetroTech Center, Brooklyn, NY 11201, USA.
Entropy (Basel). 2020 Feb 19;22(2):233. doi: 10.3390/e22020233.
Despite our intimate relationship with music in every-day life, we know little about how people create music. A particularly elusive area of study entails the spontaneous collaborative musical creation in the absence of rehearsals or scripts. Toward this aim, we designed an experiment in which pairs of players collaboratively created music in rhythmic improvisation. Rhythmic patterns and collaborative processes were investigated through symbolic-recurrence quantification and information theory, applied to the time series of the sound created by the players. Working with real data on collaborative rhythmic improvisation, we identified features of improvised music and elucidated underlying processes of collaboration. Players preferred certain patterns over others, and their musical experience drove musical collaboration when rhythmic improvisation started. These results unfold prevailing rhythmic features in collaborative music creation while informing the complex dynamics of the underlying processes.
尽管在日常生活中我们与音乐关系密切，但对于人们如何创作音乐却知之甚少。一个特别难以捉摸的研究领域涉及在没有排练或脚本的情况下进行自发的协作音乐创作。为了实现这一目标，我们设计了一项实验，让成对的参与者通过节奏即兴创作来协作创作音乐。通过将符号递归量化和信息论应用于参与者所创造声音的时间序列，对节奏模式和协作过程进行了研究。通过处理协作节奏即兴创作的真实数据，我们识别出了即兴音乐的特征，并阐明了协作的潜在过程。参与者比起其他模式更喜欢某些模式，并且在节奏即兴创作开始时，他们的音乐经验推动了音乐协作。这些结果揭示了协作音乐创作中普遍存在的节奏特征，同时也为潜在过程的复杂动态提供了信息。
