Music genre classification method and system based on a feature weighted fuzzy support vector machine

The invention relates to a music genre classification method and system based on a feature weighted fuzzy support vector machine, belonging to the technical field of music content retrieval and pattern recognition. The classifier of the invention selects the fuzzy support vector machine, and can assign the corresponding membership degree according to the difference of the contribution of differentinput samples to the classification, so as to reduce the influence of the noise. The feature weights calculated by reliefF feature selection algorithm are used to determine the membership degree of fuzzy support vector machine, which takes into account the different influence of features with different weights on classification. Aiming at the inseparable point of blind area, the weighted Euclidean distance from the point to the center of each class is used to divide the multi-class probability, which accords with the essence of music diversification. 本发明涉及种基于特征加权模糊支持向量机的音乐流派分类方法及系统，属于音乐内容检索及模式识别技术领域。本发明的分类器选择模糊支持向量机，