弦根的自动确定
Automatic Determination of Chord Roots
摘要：
尽管和弦根构成了音乐理论中的一个基本概念，但现有的模型并不能完全满意地解释和确定它们。我们提出了一种新的方法，考虑到顺序上下文来解决歧义和检测非谐波音调。我们从和弦对中提取特征，并使用决策树来确定和弦根。与其他模型相比，这导致预测根的正确性的定量改善。所有这些都提出了一个问题，和声和非和声音调实际上对和弦根的感知有多大贡献。
英文摘要：
Even though chord roots constitute a fundamental concept in music theory, existing models do not explain and determine them to full satisfaction. We present a new method which takes sequential context into account to resolve ambiguities and detect nonharmonic tones. We extract features from chord pairs and use a decision tree to determine chord roots. This leads to a quantitative improvement in correctness of the predicted roots in comparison to other models. All this raises the question how much harmonic and nonharmonic tones actually contribute to the perception of chord roots.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
