基于数据分析的音乐相似度模型及算法应用

Yunsong Jia, Yiming Liu
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引用次数: 2

摘要

快速分析大量作曲家和流派之间的影响和音乐相似性,对于研究音乐发展和社会变迁具有重要意义。本文提出了基于闵可夫斯基距离的相似度模型来实现快速评价,并对模型的有效性进行了验证。它可以根据音乐特征快速识别音乐或音乐团体之间的相似性。通过对ICM数据的分析和挖掘,获得了个体特征、流派发展模式、影响和音乐史变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Music Similarity Model Based on Data Analysis and Algorithm Application
Rapid analysis of the influences and musical similarities among a large number of composers and genres is of great significance to the study of music development and social change. In this paper, the similarity model based on Minkowski distance is proposed to realize the rapid evaluation, and the validity of the model is verified. It can quickly identify the similarity between music or music groups based on music features. Based on the analysis and mining of ICM data, the characteristics of the individual, genre development mode, influence, and change in music history are obtained.
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