arXiv:2504.13889cs.HCcs.AI2025-04AAAI被引 27

用草图交互学习乐理,新手单次使用即可掌握基础概念。

Maestoso: An Intelligent Educational Sketching Tool for Learning Music Theory

  • 通过识别手绘乐谱草图,自动解析音乐结构
  • 评估显示能准确识别乐理元素,新手单会话可掌握基础
  • 适合零基础学习者自学乐理,无需教师指导

学习乐理不仅有助于音乐家更好地创作、演奏、理解与表达音乐,也对非音乐专业人士提升批判性思维、数学分析能力与音乐鉴赏力有积极作用。然而,当前缺乏有效的外部工具支持无师情况下通过书写练习学习乐理,现有工具或反馈有限,或不支持书写输入,或默认使用者已具备较强乐理基础。本文介绍 Maestoso——一个面向初学者的乐理教育工具,支持通过草图练习回答乐理问题。Maestoso 首先自动识别学生手绘的题目相关音乐结构,利用现有的草图与手势识别技术完成输入解析,并生成类教师反馈。评估表明,Maestoso 在识别音乐结构元素方面表现良好,且新手用户可在一次会话中顺利掌握入门级乐理知识。

原文摘要 · Abstract (English)

Learning music theory not only has practical benefits for musicians to write, perform, understand, and express music better, but also for both non-musicians to improve critical thinking, math analytical skills, and music appreciation. However, current external tools applicable for learning music theory through writing when human instruction is unavailable are either limited in feedback, lacking a written modality, or assuming already strong familiarity of music theory concepts. In this paper, we describe Maestoso, an educational tool for novice learners to learn music theory through sketching practice of quizzed music structures. Maestoso first automatically recognizes students' sketched input of quizzed concepts, then relies on existing sketch and gesture recognition techniques to automatically recognize the input, and finally generates instructor-emulated feedback. From our evaluations, we demonstrate that Maestoso performs reasonably well on recognizing music structure elements and that novice students can comfortably grasp introductory music theory in a single session.

乐理学习草图交互教育AI

Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。