Repeating pattern discovery from audio stream

doi:10.1007/11739685_26

CORC > 兰州理工大学 > 兰州理工大学

	Repeating pattern discovery from audio stream
	Du, Zhen-Long 1,2; Li, Xiao-Li 2
	2006
会议日期	August 18, 2005 - August 21, 2005
会议地点	Guangzhou, China
关键词	Algorithms Audio systems Computational complexity Cybernetics Feature extraction Learning systems Gabor filters bank Monophony audio Polyphony audio Repeating pattern
卷号	3930 LNAI
DOI	10.1007/11739685_26
页码	249-257
英文摘要	In this paper, an effective method to discover repeating pattern from audio is proposed. Since the previous feature extraction methods are usually process monophony audio, for extracting more descriptive features from polyphony audio, Gabor filters bank is introduced. Meanwhile the measure criteria is suggested for qualitatively and quantitatively weighting the discernibility of extracted features. In addition, the presented algorithm is based on the incremental match and has time complexity O(nlog(n)). Experimental evaluations show that our proposed method could extract complete and meaningful repeating patterns from polyphony audio. © Springer-Verlag Berlin Heidelberg 2006.
会议录	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
会议录出版者	Springer Verlag
语种	英语
ISSN号	03029743
WOS研究方向	Computer Science
WOS记录号	WOS:000238282100026
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/117095]
专题	兰州理工大学
作者单位	1.State Key Lab. of CAD and CG, Zhejiang University, Hangzhou 310058, China 2.Lanzhou University of Technology, Lanzhou, 730050, China;
推荐引用方式 GB/T 7714	Du, Zhen-Long,Li, Xiao-Li. Repeating pattern discovery from audio stream[C]. 见:. Guangzhou, China. August 18, 2005 - August 21, 2005.