文章回顾了在中央音乐学院举办的第十届国际音乐符号与表现技术会议(TENOR 2025)。会议共设六场论文宣讲、两场音乐会与三场工作坊,围绕数智乐谱、人工智能音乐创作、人机协作演奏、交互与实时生成系统等议题展开,集中呈现艺术与科技交叉领域的多样化研究与实践。会议主旨报告以数智乐谱项目为背景,提出数智音乐实践视角,并借数智乐谱分析框架(PACMMAN)阐释数智乐谱的意义生成机制。论文宣讲内容可归纳为作为表征的乐谱与作为计算结构的乐谱两条主线,分别讨论数智乐谱在文化、美学、实践维度的扩展,以及形式化建模、机器学习与生成方法的推进。音乐会与工作坊进一步展示了数智乐谱在跨文化语境下的创作机制及网络化演出中的应用趋势。

This review summarises the 10th International Conference on Technologies for Music Notation and Representation (TENOR 2025), hosted by the Central Conservatory of Music in Beijing. The programme comprised six paper sessions, two concerts, and three workshops, addressing digital scores, AI-assisted composition, human-machine collaboration, interactive systems, and real-time/generative practices. The keynote by Craig Vear situated DigiScore (ERC, 2021-2026) within an expanded notion of digital musicking and articulated the PACMMAN framework as a methodological lens for analysing how digital scores mediate agency, collaboration, and meaning-making across contexts. The proceedings reveal two overarching research trajectories: notation as representation, focusing on digital scores as mediating structures embedded in cultural/aesthetic practices and multimodal interfaces; and notation as computation, treating notation as a formal, computable structure that supports modelling, inference, and algorithmic generation (including ML-driven approaches). Concert programmes and hands-on workshops further demonstrated the field's current emphasis on cross-cultural instrumentation, networked performance settings, and practice-oriented methodological development, highlighting a broader shift from notation as a static artefact to notation as an active mechanism shaping contemporary musical thinking and practice.