A Genetic Algorithm for the Automatic Generation of Playable Guitar Tablature

A Genetic Algorithm for the Automatic Generation of Playable Guitar Tablature
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自动生成可演奏吉他谱的遗传算法

DOI：
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发表时间：
2005
期刊：
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影响因子：
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通讯作者：
W. Potter
W. Potter
中科院分区：
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文献类型：
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作者：
Daniel R. Tuohy;W. Potter

文献摘要

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本文描述了一种将音符序列映射到一组吉他指板位置(表)的方法。该方法使用遗传算法(GA)通过使用评估给定的一组指板位置的可玩性的适应度函数来寻找可玩的桌子。在各种构图上的测试表明，GA具有出色的能力来发现易于播放的表格，该表格与由人类转录的已发布表格保持高度一致。研究还发现，该算法总体上优于为相同目的而设计的商业软件。我们的结论是，GA可以可靠地为任何一段吉他音乐产生良好的表格。
This paper describes a method for mapping a sequence of notes to a set of guitar fretboard positions (tablature). The method uses a Genetic Algorithm (GA) to find playable tablature through the use of a fitness function that assesses the playability of a given set of fretboard positions. Tests of the algorithm on a variety of compositions demonstrate an excellent ability of the GA to discover easily playable tablature that maintains a high degree of consistency with published tablatures transcribed by humans. The algorithm was also found to generally outperform commercial software designed for the same purpose. We conclude that the GA can reliably produce good tablature for any piece of guitar music.