Please use this identifier to cite or link to this item:
|Title:||Singing voice detection using twice-iterated composite fourier transform|
|Citation:||Maddage, N.C.,Wan, K.,Xu, C.,Wang, Y. (2004). Singing voice detection using twice-iterated composite fourier transform. 2004 IEEE International Conference on Multimedia and Expo (ICME) 2 : 1347-1350. ScholarBank@NUS Repository.|
|Abstract:||In this paper, we propose a Twice-Iterated Composite Fourier Transform (TICFT) technique to detect the singing voice boundaries from acoustical polyphonic music signals. We show that the cumulative TICFT energy in the lower coefficients is capable of differentiating the harmonic structures of vocal and instrumental music in higher octaves. The musical signal is first segmented into frames based on quarter-notes. Then TICFT is used to measure the harmonic structure of each frame. Finally, the vocal and instrumental frames are classified by applying music domain knowledge. Experimental results show over 80% frame level accuracy can be achieved.|
|Source Title:||2004 IEEE International Conference on Multimedia and Expo (ICME)|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Sep 22, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.