用风格特征预测美国反舞的创作年代

IF 0.3 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Crystal A. Peebles, M. Thomas
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引用次数: 0

摘要

在美国的对手舞中,舞蹈作曲家从一组离散的舞蹈人物中创造出符合标准小提琴曲调音乐结构的舞蹈。虽然轶事证据表明传统舞蹈和现代舞蹈具有不同的舞蹈人物模式,但我们试图通过定量分析,包括人工神经网络,系统地探索不同时期舞蹈之间的异同。在这个语料库研究中,我们使用1999年至2014年期间在拉尔夫·佩奇遗产周末表演的舞蹈。虽然神经网络并不总是准确地预测在这个小数据集中舞蹈组成的时代,但错误分类揭示了舞蹈时代之间的相似性和差异性,并为未来的研究提供了替代方法。图形抽象
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using stylistic features to predict the composition date of an American contra dance
In American contra dance, dance composers create dances that conform to the musical structure of a standard fiddle tune from a discrete set of dance figures. While anecdotal evidence suggests traditional and modern dances feature different patterns of dance figures, we seek to systematically explore similarities and differences between dances composed in various time periods through quantitative analysis, including artificial neural nets. In this corpus study, we use the dances performed at the Ralph Page Legacy Weekend between 1999 and 2014. While the neural nets did not always accurately predict the epoch in which a dance was composed among this small data set, misclassifications illuminated similarities and differences between dance epochs and suggest alternative methodologies for future research. GRAPHICAL ABSTRACT
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来源期刊
Journal of Mathematics and the Arts
Journal of Mathematics and the Arts MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-
CiteScore
0.50
自引率
0.00%
发文量
19
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