Note onset detection based on sparse decomposition

doi:10.1007/s11042-015-2656-8

	Note onset detection based on sparse decomposition
	Shao, Xi 1; Gui, Wenming 2; Xu, Changsheng3
发表期刊	MULTIMEDIA TOOLS AND APPLICATIONS
	2016-03-01
卷号	75 期号:5 页码:2613-2631
文章类型	Article
摘要	Music onset detection is significant and essential for obtaining the high-level music features such as rhythm, beat, music paragraph and structure. The traditional methods for onset detection which employ Short Time Fourier Transform (STFT)-based or Wavelet Transform (WT)-based features to characterize music signal generally lack adaptiveness for representing the stationary and non-stationary part of the music signal. This will lead to the degraded performance for music note onset detection. To solve this problem, a new algorithm for note onset detection based on sparse decomposition is proposed. Firstly, the musical signals are sparsely decomposed with Matching Pursuit (MP), and then the hybrid detection algorithm which combines namely the Degree of Explanation (DE) and the Change of Partials (CP) is applied to the sparse representation of the music signal. Finally, a modified peak-picking algorithm is employed to generate onset vectors. The experiments on the dataset with 2050 onsets show that our results are superior to those of MIREX 2013. For the polyphonic music which is the most widely used form in our real life, the proposed algorithm has better performance than the other algorithms.
关键词	Note Onset Detection Sparse Decomposition Matching Pursuit
WOS标题词	Science & Technology ; Technology
DOI	10.1007/s11042-015-2656-8
关键词[WOS]	MATCHING PURSUIT ; SIGNALS ; MUSIC
收录类别	SCI
语种	英语
项目资助者	National Nature Science Foundation of China(60902065 ; Beijing Natural Science Foundation(4152053) ; 61401227)
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号	WOS:000372027000013
引用统计	被引频次：7[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/11366
专题	多模态人工智能系统全国重点实验室_多媒体计算
作者单位	1.Nanjing Univ Posts & Telecommun, Coll Commun & Informat Engn, 172,66 Xinmofan Rd, Nanjing 210003, Jiangsu, Peoples R China 2.Jinling Inst Technol, Nanjing 210003, Jiangsu, Peoples R China 3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Shao, Xi,Gui, Wenming,Xu, Changsheng. Note onset detection based on sparse decomposition[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2016,75(5):2613-2631.
APA	Shao, Xi,Gui, Wenming,&Xu, Changsheng.(2016).Note onset detection based on sparse decomposition.MULTIMEDIA TOOLS AND APPLICATIONS,75(5),2613-2631.
MLA	Shao, Xi,et al."Note onset detection based on sparse decomposition".MULTIMEDIA TOOLS AND APPLICATIONS 75.5(2016):2613-2631.