基于BP神经网络的音乐分类模型Music classification model based on BP neural network
刘明星
摘要(Abstract)：
针对单一特征难以建立理想音乐分类模型的不足,为了帮助用户找到自己喜欢的音乐,提出BP神经网络的音乐分类模型。首先提取音乐的多种类型特征,便于对音乐信息进行准确描述,然后将这些特征组合在一起作为音乐分类模型的输入向量,通过BP神经网络的智能学习建立音乐分类模型,最后在Matlab 2016平台下进行多个音乐分类实验。结果表明,该模型克服了单一特征提供信息简单的局限性,提高了音乐的分类正确率,而且音乐分类的实时性较好,可以用于网络上的音乐检索研究。
关键词(KeyWords)： 情感特征;音频特征;RBF神经网络;音乐分类器;音乐检索;智能学习
基金项目(Foundation):
作者(Author): 刘明星
DOI: 10.16652/j.issn.1004-373x.2018.05.031
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