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Note onset detection based on sparse decomposition

文献类型：期刊论文

作者Shao, Xi1; Gui, Wenming2; Xu, Changsheng3
刊名MULTIMEDIA TOOLS AND APPLICATIONS
出版日期2016-03-01
卷号75期号:5页码:2613-2631
关键词Note Onset Detection Sparse Decomposition Matching Pursuit
DOI10.1007/s11042-015-2656-8
文献子类Article
英文摘要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.
WOS关键词MATCHING PURSUIT ; SIGNALS ; MUSIC
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:000372027000013
资助机构National Nature Science Foundation of China(60902065 ; Beijing Natural Science Foundation(4152053) ; 61401227)
源URL[http://ir.ia.ac.cn/handle/173211/11366]  
专题自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队
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.

入库方式： OAI收割

来源：自动化研究所

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