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
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;
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2011 2nd International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-0813-8
DOI :
10.1109/ICICIP.2011.6008386
