DocumentCode
3136468
Title
A transformation from a singing voice to complex network using correlation coefficients of audio signals
Author
Yang, Qin ; Gao, Qi ; Fan, Ruixia
Author_Institution
Autom. Dept., Beijing Inst. of Technol., Beijing, China
Volume
2
fYear
2011
fDate
25-28 July 2011
Firstpage
929
Lastpage
930
Abstract
This paper describes a method that transforms audio signal from sing voice into complex network. First, we construct complex networks from audio signal, with each frame represented by a single node in the network. We investigate the statistical properties of these networks for different music and find that different music has very similar statistical properties. Therefore standard measures of structure in complex networks cannot be applied to distinguish different music.
Keywords
audio signal processing; correlation methods; signal representation; audio signals; complex network; correlation coefficients; frame representation; singing voice; single node; statistical properties; Automation; Complex networks; Correlation; Fitting; Music information retrieval; Probability; Time series analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Information Processing (ICICIP), 2011 2nd International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4577-0813-8
Type
conf
DOI
10.1109/ICICIP.2011.6008386
Filename
6008386
Link To Document