arXiv:2502.15255cs.HCcs.AI2025-02被引 1

让零基础用户轻松把旋律变完整乐曲,边创作边学音乐理论。

ComposeOn Academy: Transforming Melodic Ideas into Complete Compositions Integrating Music Learning

  • 基于音乐理论设计,支持从旋律扩展成完整作品
  • 10人测试显示比Suno AI更易用、更愉悦
  • 适合音乐初学者和想边学边创的创作者

音乐创作虽是重要艺术形式,但现有数字音频工作站对无正式训练背景的用户门槛过高。为此,我们提出ComposeOn,一款面向音乐知识有限用户的理论驱动工具,可轻松将旋律扩展为完整作品,并提供简易编辑功能。它分层次解释音乐创作,涵盖初、中、高级水平。用户研究(N=10)对比了ComposeOn与基准方法Suno AI,结果表明,对于缺乏音乐技能的用户,ComposeOn在创作体验与学习感受上更具可及性与愉悦性。该工具弥合了理论与实践的差距,兼具作曲辅助与音乐教育双重功能。研究还探讨了基于理论的创作与生成式音乐的差异,凸显前者在个性化表达与学习上的优势。

原文摘要 · Abstract (English)

Music composition has long been recognized as a significant art form. However, existing digital audio workstations and music production software often present high entry barriers for users lacking formal musical training. To address this, we introduce ComposeOn, a music theory-based tool designed for users with limited musical knowledge. ComposeOn enables users to easily extend their melodic ideas into complete compositions and offers simple editing features. By integrating music theory, it explains music creation at beginner, intermediate, and advanced levels. Our user study (N=10) compared ComposeOn with the baseline method, Suno AI, demonstrating that ComposeOn provides a more accessible and enjoyable composing and learning experience for individuals with limited musical skills. ComposeOn bridges the gap between theory and practice, offering an innovative solution as both a composition aid and music education platform. The study also explores the differences between theory-based music creation and generative music, highlighting the former's advantages in personal expression and learning.

音乐生成教育工具人机交互

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