深技大音院与人工智学院赴央音音工系交流

近期，深圳技术大学音乐学院书记、院长王志昕教授，携手人工智能学院院长张立军教授，前往中央音乐学院音乐人工智能与音乐信息科技系进行考察调研。中央音乐学院教授、博士生导师、该系系主任李小兵教授及系内多位教师热情接待了访问团。

On the morning of June 23, 2026, Professor Wang Zhixin, Party Secretary and Dean of the School of Music, and Professor Zhang Lijun, Dean of the School of Artificial Intelligence at Shenzhen University of Technology, conducted a research visit to the Department of Music Artificial Intelligence and Music Information Technology at the Central Conservatory of Music. Professor Li Xiaobing, Doctoral Supervisor and Chair of the Department of Music Artificial Intelligence and Music Information Technology at the Central Conservatory of Music, together with relevant faculty members of the department, received the research delegation.

（从左至右分别是张立军教授、李小兵教授、王志昕教授）

中央音乐学院音乐人工智能与音乐信息科技系于 2019 年成立，其“音乐人工智能与音乐信息科技学科”被认定为北京市高精尖学科，在全国学科建设中发挥着引领与示范作用。该系设有音乐人工智能中心、电子音乐中心及音乐治疗中心，覆盖音乐人工智能与音乐信息科技、电子音乐制作、电子音乐作曲等八个专业方向。系内汇聚了众多全球顶尖的音乐人工智能与脑科学专家学者，实施音乐导师与科技导师双导师制，已招收大量音乐人工智能方向的硕士及博士研究生。2023 年，其音乐人工智能与脑科学教师团队入选“全国高校黄大年式教师团队”创建示范活动。

Founded in 2019, the Department of Music Artificial Intelligence and Music Information Technology of the Central Conservatory of Music boasts its discipline of Music Artificial Intelligence and Music Information Technology accredited as a High-Precision and Cutting-Edge Discipline of Beijing, which plays a leading and exemplary role in disciplinary construction across the country. The department consists of the Music Artificial Intelligence Center, Electronic Music Center and Music Therapy Center, covering eight majors including Music Artificial Intelligence and Music Information Technology, Electronic Music Production and Electronic Music Composition. It gathers numerous world-renowned experts and scholars in music artificial intelligence and brain science, adopts a dual-supervisor system with both music supervisors and technology supervisors, and has recruited a large number of postgraduates and doctoral students majoring in music artificial intelligence. In 2023, its teaching team dedicated to music artificial intelligence and brain science was shortlisted for the national exemplary program for developing Huang Danian-style university faculty teams.

调研过程中，双方就音乐科技交叉学科专业建设及复合型人才培养模式、艺工融合课程体系设计与教学改革实施、跨学科师资队伍建设与教学团队协作机制、教学条件与资源保障、产学研协同创新及毕业生发展等议题展开了深入探讨。

During the research visit, the two sides held in-depth exchanges on topics including the construction of interdisciplinary music science majors and training models for interdisciplinary talents, the design of art-engineering integrated curriculum systems and the implementation of education and teaching reforms, the development of interdisciplinary teaching staff and cooperation mechanisms for teaching teams, teaching conditions and resource support, industry-university-research collaborative innovation, and graduate development.

本次调研为深圳技术大学音乐学院在音乐科技交叉学科建设上提供了宝贵经验。学院将以此交流为契机，进一步促进艺工融合与科创育人实践，积极探寻“音乐 + 科技”的创新发展路径。

This research visit provided important references for the School of Music, Shenzhen University of Technology in developing interdisciplinary music science disciplines. Taking this exchange as an opportunity, the school will further advance the integration of art and engineering as well as education through scientific and technological innovation, and actively explore an innovative development path featuring "music plus technology".

音乐学院网站链接

https://musicyyds.sztu.edu.cn/

MUSIC

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供稿丨蔡沐辰 刘伊凡

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排版丨钟满

责编丨朱晓彤

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