发表机构
Faculty of Information Technology, CTU; University of South Bohemia in České Budějovice（捷克技术大学信息技术学院; 捷克布杰约维采南波希米亚大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究通过比较人类作曲家与算法对六首歌曲的和声处理，揭示高旋律-和弦兼容性不保证保留人类和声决策模式，并提出叙事条件化结构作为计算音乐分析的新视角。
AI 中文摘要
当代基于人工智能的音乐生成能够创作出满足调性和音乐连贯性形式要求的作品。然而，音乐表达是否仅能由数学属性来描述，仍是一个根本性问题。人类作曲家在其个人和文化背景中运作，这些背景影响和声决策以及有意偏离既有模式的行为。本研究考察了鲍勃·迪伦、约翰尼·卡什和里奇·瓦伦斯的六首叙事驱动流行歌曲。将原始人类和声与一种可解释的计算和声器在同一旋律上（未接触原始和弦进行）的输出进行比较。我们使用和弦轮图和基于BPMN的表示，考察和声词汇、功能持续性、重复、非全音阶事件以及张力-解决模式。结果表明，高旋律-和弦兼容性并不必然意味着原始人类和声决策模式的保留。一些生成的和声保留了参考的经济结构，而另一些则改变了和声多样性或抑制了独特事件，同时保持与旋律的兼容。该研究并非量化艺术质量，而是引入叙事条件化的和声结构作为计算音乐分析的补充视角。研究结果表明，生成系统可能受益于不仅建模和声正确性，还要建模结构身份、上下文和人类创作意图。
英文摘要
Contemporary AI-based music generation can produce compositions that satisfy formal requirements of tonality and musical coherence. However, whether musical expression can be described by mathematical properties alone remains a fundamental question. Human composers operate within personal and cultural contexts that influence harmonic decisions and deliberate departures from established patterns. This study investigates six narrative-driven popular songs by Bob Dylan, Johnny Cash, and Ritchie Valens. Original human harmonies are compared with outputs of an explainable computational harmonizer operating on the same melodies without access to the original chord progressions. We examine harmonic vocabulary, functional persistence, repetition, non-diatonic events, and tension-resolution patterns using Chord Wheel Diagrams and BPMN-based representations. Results show that high melody-chord compatibility does not necessarily imply preservation of the original human harmonic decision pattern. Some generated harmonizations retain the economical structure of the reference, while others alter harmonic diversity or suppress distinctive events while remaining compatible with the melody. Rather than quantifying artistic quality, the study introduces narrative-conditioned harmonic structure as a complementary perspective for computational music analysis. The findings suggest that generative systems may benefit from modeling not only harmonic correctness, but also structural identity, context, and human compositional intention.
Comments10 pages, 1 figure, 2 tables, link to GIT
