TY - GEN
T1 - A transformation from a singing voice to complex network using correlation coefficients of audio signals
AU - Yang, Qin
AU - Gao, Qi
AU - Fan, Ruixia
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=80053215594&partnerID=8YFLogxK
U2 - 10.1109/ICICIP.2011.6008386
DO - 10.1109/ICICIP.2011.6008386
M3 - Conference contribution
AN - SCOPUS:80053215594
SN - 9781457708145
T3 - Proceedings of the 2nd International Conference on Intelligent Control and Information Processing, ICICIP 2011
SP - 929
EP - 930
BT - Proceedings of the 2nd International Conference on Intelligent Control and Information Processing, ICICIP 2011
T2 - 2nd International Conference on Intelligent Control and Information Processing, ICICIP 2011
Y2 - 25 July 2011 through 28 July 2011
ER -