Jazz Sebastian Bach: A GA System for Music Style Modification

D. Tzimeas, E. Mangina
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引用次数: 11

Abstract

Genetic algorithms (GAs) have successfully been employed in a wide range of artificial intelligence problems. This paper reviews the use of GAs in the area of art creativity and focuses on the connection between the human creativity procedure and the operators of selection-mutation-crossover in a simple GA trying to outline a new algorithmic analogue. It presents "Jazz Sebastian Bach", a novel GA-based computational music system that performs a style modification of a J. S. Bach theme to a Jazz melody. The system's sources of innovation are addressed and exemplified, as is an evaluation of its outputs. The paper concludes with a summary of the main findings and discusses the potential application of the system in the areas of computer-assisted composition and music education.
爵士塞巴斯蒂安·巴赫:音乐风格修改的GA系统
遗传算法已经成功地应用于广泛的人工智能问题中。本文回顾了遗传算法在艺术创造力领域的应用,并重点讨论了人类创造力过程与简单遗传算法中选择-突变-交叉算子之间的联系,试图概述一种新的算法模拟。它提出了“爵士乐塞巴斯蒂安·巴赫”,一个新颖的基于ga的计算音乐系统,执行风格修改的j.s.巴赫的主题爵士乐旋律。讨论和举例说明了该系统的创新来源,并对其产出进行了评价。文章最后总结了主要研究结果,并讨论了该系统在计算机辅助作曲和音乐教育领域的潜在应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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