AI 中文总结
本研究提出时代分类框架，通过CNN分类器量化美韩流行音乐的跨文化风格传播，发现1960-80年代韩流滞后美流4-5年，90年代后偏差缩小，该框架可推广至其他榜单文化对。
AI 中文摘要
流行音乐在全球传播的同时会被本地重新诠释，但这种跨文化风格传播的过程很少被量化。我们提出一种时代分类框架，用于测量不同榜单文化之间的时间对齐程度。将从零开始训练的CNN分类器（基于Billboard Hot 100音频）应用于韩国Melon榜单歌曲。1960年代至1980年代的韩国榜单歌曲始终被推断属于更早的Billboard时代，中位数偏差约为4至5年，而相同模型在保留的Billboard音频上无偏差。1990年代偏差减半至约2至3年，并在2000年代保持该水平。反向推理显示偏差呈互补性缩小，且该模式在不同架构和随机种子下均成立。我们将这些结果解释为反映全球流行音乐风格如何被本地采用并逐步同步，该框架可应用于除美韩案例外的其他榜单文化对。
英文摘要
Popular music circulates globally while being locally reinterpreted, yet this process of cross-cultural style diffusion has rarely been quantified. We propose an era-classification framework for measuring temporal alignment between chart cultures. CNN classifiers trained from scratch on Billboard Hot 100 audio are applied to Korean Melon chart songs. Korean chart songs from the 1960s through the 1980s are consistently inferred as belonging to earlier Billboard eras, by a median of about four to five years, while the same models remain unbiased on held-out Billboard audio. The offset then halves at the 1990s, to roughly two to three years, and holds there through the 2000s. Reverse inference shows a complementary narrowing, and the pattern holds across architectures and seeds. We interpret these results as reflecting how globally circulating pop styles were locally adopted and progressively synchronized. The framework can be applied to other pairs of chart cultures beyond the US-Korea case examined here.
Comments8 pages, 6 figures, 4 tables. Accepted at ISMIR 2026
