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A Multilayered Approach to Automatic Music Generation and Expressive Performance

机译:一种自动音乐生成和表现性能的多层方法

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When analyzing scores, musicologists often use multilayered representations to describe different importance levels of notes and chords, according to hierarchical musical structures. These structures are believed to represent the composer's mental representation as well as the listeners' perception of the piece. Thus, in the context of automated music generation, this kind of information can be of great use to model both the composition itself and its expressive performance. In this paper one computational method to perform this kind of analysis is described. Its implementation is then used to generate short musical phrases according to a hierarchical structure that is also used to model the performance of these melodies.
机译:根据分层音乐结构,音乐学家通常使用多层表示来描述票据和和弦的不同重要性。这些结构被认为代表作曲家的心理表现以及对该部件的听众感知。因此,在自动化音乐生成的背景下,这种信息可以很好地模拟构图本身及其表现性能。在本文中,描述了一种执行这种分析的计算方法。然后,其实现用于根据分层结构产生短音乐短语,该层结构也用于模拟这些旋律的性能。

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