现代电子技术2018，Vol.41Issue(5)：136-139,4.DOI:10.16652/j.issn.1004-373x.2018.05.031
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1
作者信息
- 1. 山西师范大学 音乐学院,山西 临汾014000
- 折叠
摘要
Abstract
Since the use of single feature is difficult to establish the satisfied music classification model,a music classifica-tion model based on BP neural network is proposed to help users to find their favorite music. The music characteristics with mul-tiple types are extracted to describe the music information accurately. The characteristics are combined as the input vector of the music classification model,and the intelligent learning of BP neural network is adopted to establish the music classification model. The multi-music classification experiment was carried out on Matlab 2016 platform. The results show that the model can over-come the limitations of the single feature providing simple information,improve the classification accuracy of the music,has per-fect real-time performance of music classification,and is used to study the music retrieval on the network.关键词
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Key words
emotion characteristic/audio characteristic/RBF neural network/music classifier/music retrieval/intelligent learning分类
信息技术与安全科学引用本文复制引用
刘明星..基于BP神经网络的音乐分类模型[J].现代电子技术,2018,41(5):136-139,4.
