Using Harmonic and Melodic Analyses to Automate the Initial Stages of Schenkerian Analysis
Using Harmonic and Melodic Analyses to Automate the Initial Stages of Schenkerian Analysis
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使用和声和旋律分析来自动化申克分析的初始阶段
DOI：
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发表时间：
2009
期刊：
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通讯作者：
P. Kirlin
中科院分区：
文献类型：
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作者：
P. Kirlin
结构音乐分析用于通过递归地对音乐应用还原来揭示音乐作品的内部运作，从而产生一系列连续更抽象的作品视图。申克分析是最成熟的结构分析类型，虽然对该理论有广泛的研究，但没有明确定义的算法来执行此类分析。申克分析的自动化算法对于从计算角度研究音乐的音乐学者和研究人员来说非常有用。生成申克分析的第一个主要步骤是从相关乐曲中为分析的主要女高音和低音部分选择音符。我们为此提出了一种算法，该算法使用和声和旋律分析来完成此任务。
Structural music analysis is used to reveal the inner workings of a musical composition by recursively applying reductions to the music, resulting in a series of successively more abstract views of the composition. Schenkerian analysis is the most well-developed type of structural analysis, and while there is a wide body of research on the theory, there is no well-defined algorithm to perform such an analysis. A automated algorithm for Schenkerian analysis would be extremely useful to music scholars and researchers studying music from a computational standpoint. The first major step in producing a Schenkerian analysis involves selecting notes from the composition in question for the primary soprano and bass parts of the analysis. We present an algorithm for this that uses harmonic and melodic analyses to accomplish this task.