Note onset detection based on sparse decomposition
Shao, Xi1; Gui, Wenming2; Xu, Changsheng3
2016-03-01
发表期刊MULTIMEDIA TOOLS AND APPLICATIONS
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
DOI10.1007/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
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/11366
专题模式识别国家重点实验室_多媒体计算与图形学
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.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Shao, Xi]的文章
[Gui, Wenming]的文章
[Xu, Changsheng]的文章
百度学术
百度学术中相似的文章
[Shao, Xi]的文章
[Gui, Wenming]的文章
[Xu, Changsheng]的文章
必应学术
必应学术中相似的文章
[Shao, Xi]的文章
[Gui, Wenming]的文章
[Xu, Changsheng]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。