研究文本生成音乐模型如何改变音乐人创作流程。
AI-Assisted Music Production: A User Study on Text-to-Music Models
- 用文本生成音乐与音频分离工具辅助作曲
- 发现模型提升创意效率但存在整合难题
- 适合音乐制作人与AI创作研究者参考
文本生成音乐（Text-to-Music, TTM）模型正在重塑创作生态，为音乐创作带来全新可能。然而其在音乐人实际工作流中的应用仍缺乏深入探索。本文基于一项用户研究，考察TTM模型对音乐制作人创作流程的影响。参与者使用一款结合TTM与源分离模型的定制工具制作音乐作品。通过半结构化访谈与主题分析，揭示了关键挑战、机遇及伦理考量。研究结果展示了TTM在音乐生产中的变革潜力，也指出了其在真实场景中落地的障碍。
原文摘要 · Abstract (English)
Text-to-music models have revolutionized the creative landscape, offering new possibilities for music creation. Yet their integration into musicians workflows remains underexplored. This paper presents a case study on how TTM models impact music production, based on a user study of their effect on producers creative workflows. Participants produce tracks using a custom tool combining TTM and source separation models. Semi-structured interviews and thematic analysis reveal key challenges, opportunities, and ethical considerations. The findings offer insights into the transformative potential of TTMs in music production, as well as challenges in their real-world integration.
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