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Automatic Tonal Music Composition Using Functional Harmony

机译:使用功能和声自动进行音乐创作

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摘要

The application of Artificial Intelligence technology to the field of music composition has always been fascinating. Different algorithms are created for automatic music composition and in all cases it could be possible that the sequence of the notes of the melody doesn't permit to obtain a correct sequence of the chords (building on the base of the notes of the melody) on the base of the musical grammar. This paper, which outlines key ideas of our research in this field, provides a step to pass this gap: it proposes a method based on a self-learning model that combines De La Motte's theory of Functional Harmony in a Markov process.
机译:人工智能技术在音乐创作领域的应用一直令人着迷。为自动音乐创作创建了不同的算法,在所有情况下,旋律音符的顺序都可能不允许获得正确的和弦序列(在旋律音符的基础上建立)。音乐语法的基础。本文概述了我们在该领域研究的关键思想,为克服这一差距提供了一个步骤:它提出了一种基于自学习模型的方法,该方法在马尔可夫过程中结合了德拉莫特的功能和谐理论。

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