巧可:一个和弦集和一个数据转换工作流程,用于音乐和的知识图
Jacopo de Berardinis1, Albert Meroño-Peñuela2, Andrea Poltronieri3
1Department of Informatics, King's College London, 30 Aldwych, London, WC2B 4BG, UK. jacopo.deberardinis@kcl.ac.uk.
Scientific data
|September 20, 2023
概括
研究人员创建了和弦集 (ChoCo),这是一个大型的开放数据集,整合了18个不同的和弦来源. 这个资源增强了计算音乐分析和跨体和研究.
科学领域:
- 音乐信息检索 音乐信息检索
- 计算音乐学 计算音乐学
- 数字人文学科 数字人文学科
背景情况:
- 现有的用于音乐分析的和弦数据集是碎片化的,尺寸有限的,缺乏互操作性.
- 这种碎片化阻碍了对和声趋势的大规模研究和计算音乐分析研究.
- 一个统一的,大规模的数据集对于推动音乐信息检索和计算音乐学的发展至关重要.
研究的目的:
- 引入和弦集 (ChoCo),这是一个新的,大规模的和语义上集成的和信息数据集.
- 通过为音乐分析提供统一的资源,解决现有数据集的局限性.
- 促进跨体研究和推进计算音乐分析领域的研究.
主要方法:
- 开发了一种用于建模音乐注释和相关实体的新型本体学.
- 综合了来自18个异质来源的和数据,使用各种格式 (Harte,Leadsheet,罗马数字,ABC).
- 使用JAMS (JSON注释音乐规范) 来统一表示与和弦相关的信息.
- 构建了一个3000万的三重知识图,其中有4000多个链接到外部数据集 (MIDI-LD,LED).
主要成果:
- 创建了和弦集 (ChoCo),这是一个大型数据集,整合了各种调数据.
- 从18个不同的来源获得和弦信息的语义整合.
- 建立了一个全面的知识图,将音乐注释和实体联系起来.
- 为和弦,键和模式信息提供统一的数据结构 (JAMS).
结论:
- 合弦集 (ChoCo) 通过提供统一的,大规模的数据集,显著提升了音乐信息检索和计算音乐分析.
- 语义整合和知识图的构建使得音乐和的研究更加丰富,跨体.
- 巧克力作为未来研究计算创造力,模式挖掘和和弦识别的基础资源.
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