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

Qin Yang*, Qi Gao, Ruixia Fan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the 2nd International Conference on Intelligent Control and Information Processing, ICICIP 2011
Pages929-930
Number of pages2
EditionPART 2
DOIs
Publication statusPublished - 2011
Event2nd International Conference on Intelligent Control and Information Processing, ICICIP 2011 - Harbin, China
Duration: 25 Jul 201128 Jul 2011

Publication series

NameProceedings of the 2nd International Conference on Intelligent Control and Information Processing, ICICIP 2011
NumberPART 2

Conference

Conference2nd International Conference on Intelligent Control and Information Processing, ICICIP 2011
Country/TerritoryChina
CityHarbin
Period25/07/1128/07/11

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