摘要
本文系统梳理了基于提示词的生成式人工智能音乐模型的发展脉络,通过典型案例分析揭示了其在感知可用性与感知易用性维度的双重优势。研究进一步探讨了当前模型在音乐艺术性与文本可提示性方面的认知边界,并从多模态具身生成系统构建、文化基因库与去殖民化算法设计、元创作系统驱动的自反性范式革新三个维度,展望了生成式人工智能音乐模型的未来发展方向。本文为人工智能与音乐创作的深度融合实践提供了方法论指导,对推动音乐艺术与科技创新的协同发展具有启示意义。
This article systematically reviews the developmental trajectory of prompt-based generative artificial intelligence music models,revealing their dual advantages in terms of perceived usability and perceived ease of use through the analysis of typical cases.The study further explores the cognitive boundaries of current models in terms of musical artistry and textual promptability.Additionally,it envisions the future development directions of generative AI music models from three dimensions:the construction of multimodal embodied generation systems,the design of cultural gene libraries and decolonized algorithms,and the reflexive paradigm shift driven by meta-creation systems.The research provides methodological guidance for the deep integration of artificial intelligence and music creation,offering insights into promoting the synergistic development of musical art and technological innovation.
作者
王铉
张圣楠
WANG Xuan;ZHANG Shengnan(School of Music and Recording Arts,Communication University of China,Beijing 100024)
出处
《牡丹江大学学报》
2025年第3期92-101,共10页
Journal of Mudanjiang University
关键词
生成式人工智能
音乐模型
技术接受模型
元创作系统
generative artificial intelligence
music models
technology acceptance model
meta-creation systems
