[1]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,2014,24(07):72-76.
　WEI Hua-zhen[],DAI An-na[],ZHAO Shu[][]. Music Emotion Recognition Based on Neighborhood Covering Algorithm[J].,2014,24(07):72-76.
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 基于领域覆盖算法的音乐情感识别()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
24
期数:
2014年07期
页码:
72-76
栏目:
智能、算法、系统工程
出版日期:
2014-07-10

文章信息/Info

Title:
 Music Emotion Recognition Based on Neighborhood Covering Algorithm
文章编号:
1673-629X（2014）07-0072-05
作者:
 魏华珍[1]; 戴安娜[1]; 赵姝[1][2]
 1.安徽大学 计算机科学与技术学院；安徽大学 智能计算与信号处理教育部重点实验室
Author(s):
 WEI Hua-zhen[1]; DAI An-na[1]; ZHAO Shu[1][2]
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
Keywords:
 ; neighborhood coverage algorithm; music emotion recognition; music featureextraction; emotion classification
分类号:
TP181
文献标志码:
A
摘要:
 音乐中具备很多情感的信息。文中通过分析音乐特征并用领域覆盖算法对音乐情感分类进行研究。音乐情感分类主要包括两个阶段：特征提取和分类。首先，通过Matlab语言提取音乐的特征，将提取到的特征值构建训练样本，然后使用训练样本训练领域覆盖算法分类器，得到音乐情感分类器，从而实现音乐的情感自动分类。文中借鉴Weiner、Graham的情感分类方法，将音乐分为开心和悲伤两类，并尝试用多种不同的音乐特征组合训练领域覆盖分类器，分析基于领域覆盖算法的音乐情感识别效果。
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.

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更新日期/Last Update: 2015-03-13