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Intelligent composition method for the prairie-song melodies of northern China

机译:中国北方草原歌曲旋律智能成分法

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摘要

It is easy to apply artificial intelligence methods and address scientific problems with concrete rules. However, it is often challenging to apply these methods to art creation problems of weak regularity. To automatically generate musical melodies in the prairie songs of northern China, this paper proposes a formal method for melody creation based on theme development and fuzzy inference. First, we analyze the features of mode and scale in the prairie songs and construct an algorithm to generate a theme phrase according to the inner fuzzy relations among the prairie-song phrases to obtain seed materials. Then, concerning the fuzzy relations between two phrases in the prairie songs, this paper adopts fuzzy inference to manage the progression of the phrase relations and generates developmental phrases. Finally, many complete melodies of the prairie songs are generated. Compared with existing rule-based approaches, the proposed method can improve the global structure of music and can make the output compositions more musical and interesting.
机译:很容易应用人工智能方法和解决具体规则的科学问题。然而,将这些方法应用于弱规律的艺术创作问题往往挑战。本文提出了一种基于主题开发和模糊推理的旋律创作的正式方法。首先,我们分析了草原歌曲中的模式和比例的特征,并构建了一种算法,根据草原歌曲短语中的内模糊关系来生成主题短语,以获得种子材料。然后,关于草原歌曲中的两个短语之间的模糊关系,本文采用模糊推理来管理短语关系的进展并生成发展短语。最后,产生了大草原歌曲的许多完整旋律。与现有的基于规则的方法相比,该方法可以提高音乐的全球结构,可以使输出组合物更加音乐和有趣。

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