Note Onset Detection Based on Matching Pursuit

GUI Wen-ming; LIU Rui-fan; SHAO Xi; BAI Guang-yi

doi:10.3969/j.issn.0372-2112.2013.06.029

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Note Onset Detection Based on Matching Pursuit

更新时间：2025-07-16

- Note Onset Detection Based on Matching Pursuit
- Acta Electronica Sinica Vol. 41, Issue 6, Pages: 1225-1230(2013)
- 作者机构：
  
  1. 南京理工大学计算机与科学技术学院,江苏,南京,210094
  2. 南京财经大学,江苏,南京,210046
  3. 南京邮电大学,江苏,南京,210003
  4. 方舟信息(苏州)技术有限公司,江苏,苏州,215021
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.60902065)
- DOI：10.3969/j.issn.0372-2112.2013.06.029
  CLC： TP391.42
- Published：2013
- 稿件说明：
移动端阅览
GUI Wen-ming, LIU Rui-fan, SHAO Xi, et al. Note Onset Detection Based on Matching Pursuit[J]. Acta Electronica Sinica, 2013, 41(6): 1225-1230.
DOI：

GUI Wen-ming, LIU Rui-fan, SHAO Xi, et al. Note Onset Detection Based on Matching Pursuit[J]. Acta Electronica Sinica, 2013, 41(6): 1225-1230. DOI： 10.3969/j.issn.0372-2112.2013.06.029.

摘要

在基于内容的音乐研究中

正确提取音符起始点信息是识别音高、节拍、节奏、段落等音乐高级特征的基础.本文提出了基于匹配追踪(Matching Pursuit

简称MP)的两种新型音符起始点检测算法:基于MP解释程度和基于分音变化的检测算法.这两种算法均在MP分解的基础上

分析MP码本

并利用改进的峰值提取算法生成音符起始点向量.从实验结果看

本文提出算法的性能指标和MIREX 2011的最好结果相当.

Abstract

Note onset detection is the preliminary work for recognition of high-level musical feature

such as pitch

rhythm

tempo and paragraphs

in content-based music information retrieval.This paper proposed two novel algorithms based on matching pursuit(MP):the algorithm of MP degree of explaination and the algorithm of MP change of partial.Firstly

the musical signals were decomposed through MP

and then the code books were analyzed with the two algorithms.Finally

a modified peak-picking algorithm was applied to generate note onset vectors.The experiments showed the performance of our algorithms was nearly as good as that of 2011 MIREX.

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