A transformation from a singing voice to complex network using correlation coefficients of audio signals

摘要

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.