cs.AI updates on arXiv.org 10月23日 12:11
图引擎助力吉他和弦音独奏建议
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本文提出一种基于图的吉他和弦音独奏建议引擎,通过生成和弦琶音、构建加权图、计算节点间最优过渡音,为吉他学生提供和弦音独奏实践。

arXiv:2510.19666v1 Announce Type: new Abstract: We present a graph-based engine for computing chord tone soloing suggestions for guitar students. Chord tone soloing is a fundamental practice for improvising over a chord progression, where the instrumentalist uses only the notes contained in the current chord. This practice is a building block for all advanced jazz guitar theory but is difficult to learn and practice. First, we discuss methods for generating chord-tone arpeggios. Next, we construct a weighted graph where each node represents a chord tone arpeggio for a chord in the progression. Then, we calculate the edge weight between each consecutive chord's nodes in terms of optimal transition tones. We then find the shortest path through this graph and reconstruct a chord-tone soloing line. Finally, we discuss a user-friendly system to handle input and output to this engine for guitar students to practice chord tone soloing.

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吉他 和弦音独奏 图引擎 音乐理论 实践方法
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