GA-based Music Arranging for Guitar

GA-based Music Arranging for Guitar
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基于GA的吉他音乐编曲

DOI:
10.1109/cec.2006.1688427
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发表时间:
2006
期刊:
2006 IEEE International Conference on Evolutionary Computation
影响因子:
--
通讯作者:
W. Potter
W. Potter
中科院分区:
--
文献类型:
--
作者:
Daniel R. Tuohy;W. Potter

文献摘要

被引文献

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在这篇文章中,我们描述了一个将一段音乐转换成适当的吉他编曲的系统。该系统得到了先前关于用遗传算法生成吉他演奏信息(表格表)的研究的支持。这项技术是评估函数的重要组成部分,该函数旨在根据对原始作品的忠实性和可玩性来区分候选编曲。我们描述了一个遗传算法和一个贪婪的登山者,他们使用这个函数来找到好的安排。这两种技术都证明了一种能力,可以对测试的碎片进行可行的排列。
In this paper we describe a system for converting a piece of music into an appropriate arrangement for guitar. The system is supported by previous research into the generation of guitar performance information (tablature) with genetic algorithms. This technology is a significant part of an evaluation function that is designed to differentiate between candidate arrangements on the basis of both faithfulness to the original piece and on playability. We describe both a genetic algorithm and a greedy hill-climber that use this function to find good arrangements. Both techniques have demonstrated an ability to create viable arrangements of the pieces tested.