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Evolving Indirectly Represented Melodies with Corpus-Based Fitness Evaluation

机译:基于语料库的适应性评估间接发展的旋律

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The paper addresses the issue of automatic generation of music excerpts. The character of the problem makes it suitable for various kinds of evolutionary computation algorithms. We introduce a special method of indirect melodic representation that allows simple application of standard search operators like crossover and mutation with no repair mechanisms necessary. A method is proposed for automatic evaluation of melodies based upon a corpus of manually coded examples, such as classical music opi. Various kinds of Genetic Algorithm (GA) were tested against this e.g., generational GAs and steady-state GAs. The results show the ability of the method for further applications in the domain of automatic music composition.
机译:该文件解决了音乐摘录自动生成的问题。问题的性质使其适用于各种进化计算算法。我们介绍了一种间接旋律表示的特殊方法,该方法允许简单应用标准搜索运算符(例如交叉和突变),而无需修复机制。提出了一种基于诸如古典音乐opi之类的手动编码示例的语料库来自动评估旋律的方法。针对此算法测试了各种遗传算法(GA),例如世代GA和稳态GA。结果显示了该方法在自动音乐创作领域中的进一步应用的能力。

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