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一种新型音符起始点检测算法
引用本文:桂文明,邵曦,刘睿凡. 一种新型音符起始点检测算法[J]. 计算机工程与应用, 2011, 47(24): 9-11. DOI: 10.3778/j.issn.1002-8331.2011.24.003
作者姓名:桂文明  邵曦  刘睿凡
作者单位:1.南京理工大学 计算机科学与技术学院,南京 210094 2.南京财经大学,南京 210046 3.南京邮电大学,南京 210003
摘    要:提出一种利用乐音频率变化特征进行音符起始点检测的算法,该算法基于连续小波变换(CWT)对音乐信号进行分解,分解后的信号频率和乐音频率分布相同。从分解后的信号中提取音符起始点特征,使用双边指数光滑和移动窗口归一化算法优化检测函数,产生音符起始点。

关 键 词:连续小波变换  双边指数光滑  移动窗口归一化  音符起始点  
修稿时间: 

New algorithm for note onset detection
GUI Wenming,SHAO Xi,LIU Ruifan. New algorithm for note onset detection[J]. Computer Engineering and Applications, 2011, 47(24): 9-11. DOI: 10.3778/j.issn.1002-8331.2011.24.003
Authors:GUI Wenming  SHAO Xi  LIU Ruifan
Affiliation:1.School of Computer Science and Technology,Nanjing University of Science and Technology,Nanjing 210094,China 2.Nanjing University of Finance & Economics,Nanjing 210046,China 3.Nanjing University of Posts and Telecommunications,Nanjing 210003,China
Abstract:This paper proposes a new algorithm for note onset detection,which is based on the Continuous Wavelet Trans-form(CWT) and the music knowledge.The musical signals are decomposed into the frequencies whose distribution are identi-cal to music tones,and note onset features are extracted.The double side exponential smoothing method and normalization techniques based on moving window are employed to detect the onsets.
Keywords:continue wavelet transform  double side exponential smoothing  moving window normalization  note onset detection
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