基于深度学习的电子音乐信号辨识系统研究  

Study on electronic music signal identification system based on deep learning

作　　者：李立[1] LI Li(Huanghuai University,Zhumadian 463000,China)

机构地区：[1]黄淮学院,河南驻马店463000

出　　处：《现代电子技术》2020年第15期33-36,共4页Modern Electronics Technique

摘　　要：电子音乐信号辨识系统存在辨识时间长、速度慢等不足,为了获得更加理想的电子音乐信号辨识结果,提出基于深度学习的电子音乐信号辨识系统。首先,对电子音乐信号辨识原理进行分析,找到各种电子音乐信号辨识系统存在的弊端;然后,提取电子音乐信号辨识信号,并提取电子音乐信号辨识特征;最后,引入深度学习算法建立电子音乐信号辨识系统,并与其他电子音乐信号辨识系统的仿真对比实验结果表明,所提系统的电子音乐信号辨识效果好,而且电子音乐信号辨识效率高,具有更高的实际应用价值。The traditional electronic music signal identification systems have the disadvantages of slow identification and long time for identification.Therefore,an electronic music signal identification system based on deep learning is proposed to obtain more ideal effect of electronic music signal identification.The identification principle of electronic music signal is analyzed to find the disadvantages of various electronic music signal identification systems.Then,the identification signals of electronic music are extracted and also its identification features are extracted.In the end,the deep learning algorithm is introduced to establish the electronic music signal identification system.Simulation experiments were carried out to make comparison between the proposed system and other systems.The results showed that the electronic music signal identification effect of the proposed system is good,and the identification efficiency of electronic music signal is high,which has higher application value in the practice.

关 键 词：人工智能 电子音乐 辨识系统 音频信号 神经网络 系统设计 

分 类 号：TN911.6-34[电子电信—通信与信息系统] TP183[电子电信—信息与通信工程]