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Diptych:音乐制作中参考聆听的限定范围、AI 解释比较

Diptych: Scoped, AI-Interpreted Comparison for Reference Listening in Music Production

Chongjun Zhong, Abhinaba Roy, Archishman Ghosh, Kejun Zhang, Dorien Herremans

arXiv 2609.39963首次发表:更新:

发表机构

Zhejiang University; Singapore University of Technology and Design(浙江大学; 新加坡科技设计大学)

机构由 AI 辅助整理,请以论文原文为准。

AI 中文总结

Diptych 是一个 AI 辅助系统,允许音乐制作中用户自定义比较范围,通过可检查的音频特征和 AI 解释提升参考聆听的清晰度,研究显示其能发现差异并获得专家支持。

AI 中文摘要

参考聆听是音乐制作中的常见策略,但当前的比较工具常常模糊了一个关键的人类判断:决定应该比较什么。我们提出了 Diptych,一个 AI 辅助系统,允许用户定义跨整轨或独立选择片段的比较范围,同时检查结构化音频特征和特定范围的 AI 解释。我们在 12 位音乐家中进行了一项参与者内研究来评估 Diptych,并辅以四位专家听众的源盲评分。参与者使用该系统发现了额外的差异,其中十个中有九个至少获得了部分专家支持,并报告了良好的可用性和对可能后续步骤的更大清晰度。这些发现表明,AI 对创意比较的支持应优先考虑用户定义的范围、可检查的证据和可操作的指导,同时避免超出证据支持的权威判断。

英文摘要

Reference listening is a common strategy in music production, but current comparison tools often obscure a key human judgment: deciding what should be compared. We present Diptych, an AI-assisted system that lets users define comparison scope across whole tracks or independently selected segments, while inspecting structured audio features and scope-specific AI interpretations. We evaluated Diptych in a within-participants study with 12 musicians, complemented by source-blinded ratings from four expert listeners. Participants used the system to surface additional differences, nine of ten of which received at least partial expert support, and reported good usability and greater clarity about possible next steps. These findings suggest that AI support for creative comparison should prioritize user-defined scope, inspectable evidence, and actionable guidance, while avoiding authoritative judgments that exceed what the evidence can support.

论文原文

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