音乐创作中的人工智能:关于介入方式与人机关系的思考

马仕骅

中央音乐学院学报 ›› 2024 ›› Issue (2) : 84-100.

中央音乐学院学报 ›› 2024 ›› Issue (2) : 84-100.
音乐与科技

音乐创作中的人工智能:关于介入方式与人机关系的思考

  • 马仕骅
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Artificial Intelligence in Music Composition:Reflections on Intervention Approaches and Human-Computer Relationships

  • MA Shihua
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摘要

近年来,人工智能相关技术与理念对艺术创作的影响愈加深远。作为音乐创作者,有必要对其介入音乐创作的方式与其带来的人机关系变化进行思考。文章将当前人工智能介入到音乐创作中的方式归纳为“全面替代人工”“部分替代人工”与“作为合作者”三类。通过分析采用不同介入方式的典型作品案例,并结合行动者网络理论梳理不同介入方式下的人机关系表现,可总结出不同介入方式对于音乐创作发展的影响。结论认为,完全替代与部分替代的介入方式能够对现存的音乐创作模式实现一定程度上的革新,提升当前音乐创作实践的效率,而作为合作者的介入方式则解放了人工智能作为智能化个体的能动性,有潜力为人类打开新的音乐发展方向。

Abstract

In recent years,it has become more and more profound on the impact of AI-related technologies and concepts on artistic creation.As a music creator,it is necessary to think about the way it intervenes in composition and the changes in human-machine relationship it brings.This paper summarizes the current way of AI intervention in composition into three categories:"full replacement of artificiality",“partial replacement of artificiality”and“as a collaborator”.By analyzing several typical cases of compositions with different modes of intervention,and combining the actor network theory to sort out the human-computer relationship performance under different modes of intervention,we can summarize the impact of different modes of intervention on the development of music composition.The paper concludes that the intervention methods of “completely replacing artificiality”and "partially replacing artificiality"are capable to revolutionize the existing composition mode to a certain extent and improve the efficiency of the current composition practice,while the intervention method of“as a collaborator” liberates the human-computer relationship.The“as collaborator”intervention frees the AI as an intelligent individual,and has the potential to open up new directions of musical development for human beings.

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导出引用
马仕骅. 音乐创作中的人工智能:关于介入方式与人机关系的思考[J]. 中央音乐学院学报. 2024(2): 84-100
MA Shihua. Artificial Intelligence in Music Composition:Reflections on Intervention Approaches and Human-Computer Relationships[J]. Journal of Central Conservatory of Music. 2024(2): 84-100

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