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基于核聚类进化算法的音乐情感模糊计算模型

, PP. 63-70

Keywords: 音乐情感识别,古琴减字谱,核聚类,蚁群算法(ACO),模糊规则

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Abstract:

音乐情感计算涉及到多维度多层次结构的复杂情感表征问题,而情感本身所具有的模糊性、细微性和多样性,使得传统的情感识别方法普遍效率低下且正确率不高。为提高识别精度,首先利用高斯径向基函数进行非线性映射,来分辨、提取并放大更多的细节信息。然后通过深入剖析中国古琴乐曲,从中抽取出影响最大的六个情感特征值,并在非线性映射的基础上,构造一种基于核聚类进化算法的音乐情感模糊计算模型。在此基础上,进一步针对算法中统一设定簇半径阈值的不足,提出基于蚁群算法的规则调整策略,并进行系统实验。实验结果表明,与基于概率统计的Beyes分类方法相比,优化后的模糊计算模型具有较好的识别效果。

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