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首页> 外文会议>IFIP WG 12.5 International workshops on artificial intelligence applications and innovations;Mining Humanistic Data Workshop;Workshop on 5G-Putting Intelligence to the Network Edge >A Novel Learning Automata-Based Strategy to Generate Melodies from Chordal Inputs
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A Novel Learning Automata-Based Strategy to Generate Melodies from Chordal Inputs

机译：一种基于学习自动机的新颖策略，可从和弦输入中产生旋律

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This paper deals with the automated composition of music. Although music within the field of AI has been studied relatively extensively, the arena in which we operate is, to the best of our knowledge, unexplored. When it concerns computer composition, a noteworthy piece of research has involved the automated generation of the chordal notes when the underlying melody is specified. The chordal notes and beats have been generated based on models of well-known composers like Bach, Beethoven, and so on. The problem we study is the converse. We assume that the system is provided with the chords of some unknown melody. Our task is to generate a melody that flows with the given chords and which is also aesthetically and musically fitting. As far as we know, there is no research that has been reported to solve this problem and in that sense, although we have merely provided "baby steps", our work is pioneering.
机译：本文涉及音乐的自动创作。尽管对AI领域的音乐进行了比较广泛的研究，但据我们所知，我们所经营的领域尚未得到开发。当涉及计算机组成时，一项值得注意的研究涉及在指定基本旋律时自动生成和弦音符。这些和弦音符和节拍是根据巴赫，贝多芬等著名作曲家的模型生成的。我们研究的问题是相反的。我们假设系统中装有一些未知旋律的和弦。我们的任务是产生一种在给定的和弦下流动的旋律，并且在美学和音乐上都非常合适。据我们所知，没有任何报道可以解决这个问题，从这个意义上讲，尽管我们只是提供了“婴儿步骤”，但我们的工作是开创性的。

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