基于SVM线性核函数情感分类模型的建立和研究

The Establishment and Emotion Research of the Linear Kernel Based on SVM Classification Model

通过对流行音乐情感分类方法的分析,结合音乐主旋律的音程差值所占比例的高低,提取音乐的情感信息.并以音程差统计得到的数据为依据,建立基于SVM线性核函数情感分类的数学模型.通过对MIDI音乐文件进行主音轨定位,主旋律识别和乐段分割,结合一对多思想方法构造多分类SVM分类器,从而在SVM线性核函数基础上对流行音乐情感分类进行研究.

In this paper, the information of musical emotion is extracted through the analysis of the pop music emotion classification method, and combining the interval - difference music melody with the proportion of height. Taking the pitch difference statistics according to the data obtained, a mathematical model of SVM is established based on the linear kernel function classification. Through the rail positioning of the MIDI music files, the main melody recognition and phrase segmentation, combined with multi class SVM classifier to many thinking structure, and the research to the pop music emotion classification in the linear kernel function based on SVM is conducted.