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A study on Improvisation in a Musical performance using Multifractal Detrended Cross Correlation Analysis

机译:基于多重分形趋势互相关分析的音乐演奏即兴演奏研究

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MFDFA (the most rigorous technique to assess multifractality) was performed on four Hindustani music samples played on same 'raga' sung by the same performer. Each music sample was divided into six parts and 'multifractal spectral width' was determined for each part corresponding to the four samples. The results obtained reveal that different parts of all the four sound signals possess spectral width of widely varying values. This gives a cue of the so called 'musical improvisation' in all music samples, keeping in mind they belong to the bandish part of the same raga. Formal compositions in Hindustani raga are juxtaposed with the improvised portions, where an artist manoeuvers his/her own creativity to bring out a mood that is specific for that particular performance, which is known as 'improvisation'. Further, this observation hints at the association of different emotions even in the same bandish of the same raga performed by the same-artist, this interesting observation cannot be revealed unless rigorous non-linear technique explores the nature of musical structure. In the second part, we applied MFDXA technique to explore more in-depth about 'improvisation' and association with emotion. This technique is applied to find the degree of cross-correlation (gamma(x)) between the different parts of the samples. Pronounced correlation has been observed in the middle parts of the all the four samples evident from higher values of gamma(x) whereas the other parts show weak correlation. This gets further support from the values of spectral width from different parts of the sample - width of those parts is significantly different from other parts. This observation is extremely new both in respect of musical structure of so called improvisation and associated emotion. The importance of this study in application area of cognitive music therapy is immense. (C) 2016 Elsevier B.V. All rights reserved.
机译:MFDFA(评估多重性的最严格技术)是在同一演奏者演唱的同一首“ raga”上演奏的四个印度斯坦音乐样本上执行的。将每个音乐样本分为六个部分,并为与四个样本相对应的每个部分确定“多重分形谱宽度”。所获得的结果表明,所有四个声音信号的不同部分具有变化幅度很大的频谱宽度。这提示了所有音乐样本中的所谓“音乐即兴创作”,请记住它们属于同一拉加的带头部分。 Hindustani raga中的形式作品与即兴创作部分并列,在那儿,艺术家运用自己的创造力来表现出特定于特定表演的情绪,即所谓的“即兴创作”。此外,该观察暗示即使在由同一艺术家演奏的相同拉加的相同绷带中,也存在着不同情绪的关联,除非严格的非线性技术探索了音乐结构的本质,否则这种有趣的观察是无法揭示的。在第二部分中,我们应用MFDXA技术来更深入地探索“即兴创作”以及与情感的关联。应用此技术来查找样本不同部分之间的互相关程度(gamma(x))。从较高的gamma(x)值可以看出,在所有四个样本的中间部分均观察到明显的相关性,而其他部分则显示出弱相关性。样品不同部分的光谱宽度值得到了进一步的支持-这些部分的宽度与其他部分的显着不同。在所谓的即兴音乐结构和相关情感方面,这种观察都是极新的。这项研究在认知音乐疗法的应用领域中的重要性是巨大的。 (C)2016 Elsevier B.V.保留所有权利。

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