应用科学学报 ›› 2017, Vol. 35 ›› Issue (6): 706-716.doi: 10.3969/j.issn.0255-8297.2017.06.004

• 通信工程 • 上一篇    下一篇

基于智能可穿戴设备的乐音对比算法

叶旸, 张雪凡, 刘源, 王臣, 黄庆   

  1. 上海大学 通信与信息工程学院, 上海 200072
  • 收稿日期:2016-11-16 修回日期:2017-03-20 出版日期:2017-11-30 发布日期:2017-11-30
  • 作者简介:张雪凡,高工,博士,研究方向:无线通信、微弱信号处理,E-mail:10002461@shu.edu.cn
  • 基金资助:

    国家自然科学基金面上项目(No.61571282)资

Music Comparison Algorithm Based on Intelligent Wearable Device

YE Yang, ZHANG Xue-fan, LIU Yuan, WANG Chen, HUANG Qing   

  1. School of Communication and Information Engineering, Shanghai University, Shanghai 200072, China
  • Received:2016-11-16 Revised:2017-03-20 Online:2017-11-30 Published:2017-11-30

摘要:

提出一种基于智能可穿戴设备的乐音对比算法.该算法根据乐音信号特性,用平均幅值法定位音符起始点,由短时傅里叶变换获取频域信息;将原始频谱用次谐波求和法与最小方差法提取基频信息,进而精确定位乐音位置;通过计算演奏乐音与模板乐音时频域特征的欧氏距离,实现实时的乐音对比.该方法计算复杂度极低,实时性很好,准确率高.仿真实验表明,该方法适用于智能可穿戴设备的乐音对比.

关键词: 次谐波求和, 基频提取, 实时性, 乐音对比, 可穿戴设备

Abstract:

We introduce a novel algorithm for music comparison based on intelligent wearable devices. The algorithm includes three steps. First, the note initial point is identified with an average amplitude method, and frequency information obtained with short time Fourier transform according to the characteristics of music. Second, the basic frequency is extracted with subharmonic summation and minimum variance methods to locate music note accurately. Third, the real-time music and standard music are compared both in the frequency and time domains to detect errors in terms of Euclidean distance. Experiments show that the algorithm has low computational complexity, good real-time performance and high accuracy. It is suitable for music comparison based on intelligent wearable device.

Key words: basic frequency extraction, realtime, intelligent wearable device, music comparison, subharmonic summation

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