计算机技术与发展Issue(7)：72-76,5.DOI:10.3969/j.issn.1673-629X.2014.07.018
基于领域覆盖算法的音乐情感识别
Music Emotion Recognition Based on Neighborhood Covering Algorithm
摘要
Abstract
Music is strongly associated with emotions. In this paper,neighborhood covering algorithm is used to analyze musical genre so that music can be classified into different categories. Musical genre classification task falls into two major stages:feature extraction and classification. First of all,Matlab is used to extract the characteristics of the music,the characteristic values are applied to construct the training sample,then adopt the training sample to train the neighborhood covering algorithm classifier,obtaining the music emotion classi-fier and realizing the emotional automatic classification of music. According to emotion classification method of Weiner and Graham,di-vide the Chinese popular music into two categories:happy and sad,then try to use different music feature combinations to train neighbor-hood covering algorithm classifier as a method for music emotion recognition.关键词
领域覆盖算法/音乐情感识别/音乐特征提取/情感分类Key words
neighborhood coverage algorithm/music emotion recognition/music feature extraction/emotion classification分类
信息技术与安全科学引用本文复制引用
魏华珍,戴安娜,赵姝..基于领域覆盖算法的音乐情感识别[J].计算机技术与发展,2014,(7):72-76,5.基金项目
国家级大学生创新创业训练计划项目专项经费(cxcy2012066) （cxcy2012066）
