“人工智能＋作曲”青年骨干教师研修班

Course of Artificial Intelligence + Composition for Young Backbone Teachers

刘炼(Liu Lian)

《产教融合研究》 2卷1期 (2020/02) Pp. 22-26

https://doi.org/10.6938/IIE.202002_2(1).0006

摘要

基于对教育领域需求的分析，构建当前人工智能技术在音乐教育领域的基本应用框架场景。采用多种模型（分型音乐模型、马尔可夫链模型、遗传算法模型、神经网络模型等）的特点融合，对规则知识进行改进，而形成实用、有效的混合模型。其创新点在于结合公式化和矩阵数据组合等方法进行智能化曲目创作。项目从课程教学、实践教学、创新竞赛等领域进行针对作曲专业教师和学生培养展开深入合作，力争做到将理论教学与工程案例相结合、实践教学与工业产品相结合、学科竞赛与智能技术相结合，实现产学合作协同育人。

關鍵字

人工智能 ； 作曲 ； 曲目创作 ； 重现结构 ； 师资培训

並列摘要

Based on the analysis of the needs in the education field, the basic application framework scenarios of the current artificial intelligence technology in the field of music education are constructed. The characteristics of various models (typed music model, Markov chain model, genetic algorithm model, neural network model, etc.) are used to improve the rule knowledge to form a practical and effective hybrid model. The innovation lies in combining non-note units (reproducing structures) in music composition to intelligently compose tracks by combining formulas and matrix data combinations. The project conducts in-depth cooperation on the training of composition teachers and students from the fields of curriculum teaching, practical teaching, and innovation competition, and strives to combine theoretical teaching and engineering cases, practical teaching and industrial products, subject competition and intelligent technology. Combination to achieve collaborative education of industry-academia cooperation.

並列關鍵字

Artificial intelligence ； composition ； repertoire creation ； reproducible structure ； teacher training