arXiv:2511.17425cs.SDeess.AS2025-11

通过实验性教学让音乐学生反思AI在创作中的局限与可能性。

AI in Music and Sound: Pedagogical Reflections, Post-Structuralist Approaches and Creative Outcomes in Seminar Practice

  • 用正反两面练习法,先学正常用法再故意错用,揭示AI的边界
  • 学生技术能力与批判思维明显提升,作品体现过程性探索
  • 适合音乐科技、创意实践与数字人文方向的学习者

本文介绍了一门面向音频传播硕士项目的《人工智能与音乐声音》课程,该课程融合音乐信息学与媒体艺术模块,引导学生探索符号作曲、语音合成、音色迁移、神经音频合成及文本转音频等多类AI技术。课程采用‘对位习作’设计:每种技术先按其设计意图使用,再通过故意误用激发其非预期行为,揭示表征限制。基于媒介理论与后结构主义视角,将AI视为跨模态转换系统,推动音乐符号在文、符、音色与声学间的流动与扰动。学生实践与反思显示,其技术熟练度、媒介意识和批判素养显著增强,同时培养了实验方法与过程化听觉。论文阐述课程结构、评估方式及代表性项目,并提炼出若干教学模式(如提示控制交互、语义解构、潜空间物质性),最后提出将创作实践、媒介认知与文化知识分析结合的教学建议,帮助学生参与人工智能在创意社群中的理解、开发与应用。

原文摘要 · Abstract (English)

This paper presents a pedagogical and conceptual account of the course AI in Music and Sound: Modalities, Tools and Creative Applications, offered within the Music Informatics and Media Art module of an M.Sc. in Audio Communication. The course engaged students with a range of AI modalities such as symbolic composition, voice synthesis, timbre transfer, neural audio synthesis, and text-to-audio systems, combining theoretical reflection with practice-based experimentation. Its central pedagogical move is a paired-études design: each modality is approached first through its intended affordances and then through a deliberately reframed or "misused" exercise that surfaces representational limits and alternative behaviours. Framed by medium theory and post-structuralist inquiry, we treated AI as a transmodal conduit-a system that translates and perturbs musical signs across textual, symbolic, timbral and audio domains. Evidence from student work and reflection indicates growth in technical fluency, medium awareness, and critical literacy, alongside the cultivation of experimental method and process-oriented listening. The paper outlines the course architecture, assessment design, and representative projects, and distils a set of design patterns for AI-music pedagogy (eg., prompt-conditioned interplays and semantic destabilisation in text-to-audio; latent space materialism in timbre transfer). It concludes with pedagogical recommendations that integrate creative practice with medium awareness and with cultural-epistemic analysis of AI technologies, preparing students to participate in how AI is understood, developed, and deployed with creative communities.

音乐科技AI教育实验创作

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。