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Vol. 175, Issue 7, July 2014, pp. 83-87




An Extraction Method of Acoustic Features for Music Emotion Classification

1 Jiwei Qin, 2 Liang Xu, 3 Jinsheng Wang, 1 Fei Guo

1 Center of Network and Information Technology, Xinjiang University, Urumqi 830046, P. R. China
2 School of Information Science and Engineering, Xinjiang University, Urumqi, 830046, P. R. China
3 Sichuan Rainbow Consulting & Software Co., Ltd, Mianyang, 621000, P. R. China
1 Tel.: +86-991 858-2918, fax: +86-991 858-5005

E-mail: jwqin.2008@gmail.com


Received: 27 March 2014 /Accepted: 30 June 2014 /Published: 31 July 2014

Digital Sensors and Sensor Sysstems


Abstract: 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.


Keywords: Music, Feature, Stability, Differentiation, Relativity.


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