摘要
古琴的演奏是3维空间的立体运动,古琴的乐谱是由独有的减字谱记录演奏技法.在数字信息时代,古琴艺术的跨媒体传播面临新的挑战,本文从记谱法、信息检索、琴律、音乐标注、风格分析、智能打谱和算法作曲等24个方面简述了古琴艺术的数字化保护内容.通过对古琴三分损益律与纯律两种琴律的建模,利用最近邻法和K-Means聚类算法,参照十二平均律的音律,对古琴的泛音和按音的音律进行分类.实验结果表明:最近邻法和K-Means聚类算法对按音和泛音分类结果相同.
The performance of Guqin is a three-dimensional movement in the three-dimensional space,and the score of Guqin is recorded by a tablature notation,named as Jianzi pu .In the era of digital information,the cross-media communication of Guqin art faces new challenges.This paper briefly describes the twenty-four aspects of the digital protection content of Guqin art from notation,information retrieval,temperament,music annotation,style analysis,intelligent notation,algorithmic composition and so on.Through the modeling of Guqin of three-point profit and loss temperament and the natural temperament,the nearest neighbor method and the K-Means clustering algorithm are used to classify anyin and fanyin of Guqin by referring to the temperament of the twelve-tone equal temperament.The experimental results show that the nearest neighbor method and the K-Means clustering algorithm have the same classification results for anyin and fanyin .
作者
陈根方
CHEN Genfang(Department of Music Engineering,Zhejiang Conservatory of Music,Hangzhou 310024,China)
出处
《复旦学报(自然科学版)》
CAS
CSCD
北大核心
2019年第3期335-342,共8页
Journal of Fudan University:Natural Science
基金
教育部人文社会科学研究规划基金(19YJAZH004)
关键词
古琴
数字化保护
音律
最近邻法
K-MEANS
聚类分析
Guqin
digital protection
temperament
nearest neighbor method
K-Means
clustering analysis