An extraction method of acoustic features for music emotion classification

被引：0
|
作者：
Qin, Jiwei [1 ]
Xu, Liang [2 ]
Wang, Jinsheng [3 ]
Guo, Fei [1 ]
机构：
[1] Center of Network and Information Technology, Xinjiang University, Urumqi, China
[2] School of Information Science and Engineering, Xinjiang University, Urumqi, China
[3] Sichuan Rainbow Consulting and Software Co., Ltd, Mianyang, China
来源：
Sensors and Transducers | 2014年 / 175卷 / 07期
关键词：
Taking user’s emotion in music retrieval and recommendation as application background; this paper presents a method to extract the features associated with music emotion from the existing physical features. Focusing on degree of stability; differentiation and relativity; the method simplifies the existing multidimensional features and extracts the music physical features associated with emotion. We verify the presented method on data from baidu.com. The experimental results show that the proposed method can improve the classification efficiency about ten percent under the condition that the precision can be guaranteed. © 2014 IFSA Publishing; S; L;
D O I：
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页码：83 / 87
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