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Artificial Intelligence Approaches to Music Composition

机译:音乐作品的人工智能方法

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Artificial Intelligence (AI) techniques have been successfully applied to a wide range of problems that perform problem solving such as diagnosis, decision making and optimization problems. However, any AI algorithm applied to a creative problem requires some mechanism to substitute for the creative spark found in the human, as the computer has no creative capacity. Randomness, as supplied by a random number generator, cannot be the sole mechanism to bring about a creative composition. This paper examines three AI approaches applied to music composition. Specifically, the paper introduces MAGMA, a knowledge-based system that uses three different AI algorithms to generate music. Sample songs generated by MAGMA are compared.
机译:人工智能(AI)技术已成功应用于在诊断,决策和优化问题中进行问题解决的广泛问题。 然而,应用于创造性问题的任何AI算法需要一些机制来替代人类中发现的创意火花,因为计算机没有创造性的能力。 随机数发生器提供的随机性不能成为带来创意组成的唯一机制。 本文研究了应用于音乐组成的三种AI方法。 具体而言,本文介绍了岩浆,一种基于知识的系统,它使用三种不同的AI算法来生成音乐。 比较岩浆产生的样本歌曲。

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