MAICO:对人工智能辅助音乐作曲的可视化设计研究
IEEE transactions on visualization and computer graphics
|March 3, 2025
概括
本研究介绍了MAICO,这是一种用于人工智能辅助音乐创作的视觉分析界面. 它使作曲家能够通过生成模型交互创作和完善音乐,促进人类-AI共同创造力.
科学领域:
- 人与计算机的交互
- 音乐 技术 音乐 技术
- 人工智能的人工智能
背景情况:
- 人工智能驱动的音乐生成正在推进,但为作曲家交互引导这些模型的工具是有限的.
- 由于参数空间的高维度,可视化和分析生成音乐模型的输出具有挑战性.
研究的目的:
- 设计和评估一个视觉分析界面,MAICO (音乐AI共同创造性),用于人类-AI在音乐创作中的共同创造性.
- 为了使作曲家能够交互生成,探索,选择,编辑和比较来自多个生成模型的音乐样本.
主要方法:
- 基于视觉参数空间分析开发的MAICO.
- 支持来自多个模型的数百个象征性音乐样本的同时分析.
- 利用基于指标和相似性的布局来进行数据可视化.
主要成果:
- MAICO促进了人工智能生成的音乐样本的交互式探索和选择.
- 一位专业的作曲家使用MAICO五个月,为2024年艺术双年展做出了贡献.
- 接口支持在不同布局中同时分析众多音乐样本.
结论:
- 视觉分析可以有效地支持人类-人工智能在音乐创作中的共同创造力.
- MAICO为作曲家提供了一种新的方法,可以与生成性音乐模型合作.
- 设计选择和经验教训为未来的人类-人工智能创意系统提供了洞察力.
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