基于文献计量法对算法作曲发展趋势的可视化分析
A visual analysis of algorithmic composition trends based on bibliometric methods
投稿时间: 2022/6/20 0:00:00
DOI:
中文关键词: 算法作曲;文献计量法;Citespace;可视化分析
英文关键词: algorithmic composition;bibliometrics;citespace;visualisation analysis
基金项目:
姓名 单位
钱文琪 中国音乐学院
李子晋 中央音乐学院
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中文摘要:

算法作曲(algorithmic composition)也称自动作曲(automated composition)或人工智能作曲(Artificial Intelligence Composition),是音乐与科技交叉领域中的新兴音乐创作方式。近几年来,随着科学技术的快速发展,国内外对于计算机技术介入作曲领域的研究呈现出不断加速、扩大的趋势,音乐创作与计算机的结合迅速受到社会各领域广泛关注。随着研究的不断深入,各种算法不断更新完善,这种趋向“自动化创作”的方式虽然新颖,但也逐渐露出弊端,导致国内外社会不同领域对算法作曲的发展现状持有不同的理解和观点。本文借助可视化软件Citespace,通过对国内外中英文算法作曲相关文献的量化对比分析国内外社会不同领域对算法作曲理解差异性的原因,并探索算法作曲的发展现状、发展趋势以及发展前沿。

英文摘要:

Algorithmic composition, also known as automated composition or Artificial Intelligence Composition, is a new way of composing music in the intersection of music and technology. In recent years, with the rapid development of science and technology, domestic and international research on the involvement of computer technology in the field of composition has shown a trend of continuous acceleration and expansion, and the combination of music composition and computers is rapidly receiving widespread attention from all areas of society. This tendency towards 'automatic composition', although novel, has gradually revealed its drawbacks, leading to different understandings and views on the current development of algorithmic composition in different areas of society at home and abroad. In this paper, we analyse the reasons for the differences in understanding of algorithmic composition in different fields of society at home and abroad through a quantitative comparison of Chinese and English literature on algorithmic composition with the help of the visualisation software Citespace, and explore the current status, development trends and frontiers of development of algorithmic composition.

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