DocumentCode
2323610
Title
Phase spectrum prediction of audio signals
Author
Rad, Ali Bahrami ; Virtanen, Tuomas
Author_Institution
Dept. of Signal Process., Tampere Univ. of Technol., Tampere, Finland
fYear
2012
fDate
2-4 May 2012
Firstpage
1
Lastpage
5
Abstract
Modeling the phases of audio signals has received significantly less attention in comparison to the modeling of magnitudes. This paper proposes to use linear least squares and neural networks to predict phases from the neighboring points only in the phase spectrum. The simulation results show that there is a structure in the phase components which could be used in further analysis algorithms based on the phase spectrum.
Keywords
audio signal processing; least squares approximations; neural nets; telecommunication computing; audio signals; linear least squares; neighboring points; neural networks; phase components; phase spectrum prediction; Biological neural networks; Entropy; Predictive models; Signal to noise ratio; Speech; Time frequency analysis; Training; STFT; linear least squares; neural networks; phase spectrum prediction; phase unwrapping;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications Control and Signal Processing (ISCCSP), 2012 5th International Symposium on
Conference_Location
Rome
Print_ISBN
978-1-4673-0274-6
Type
conf
DOI
10.1109/ISCCSP.2012.6217781
Filename
6217781
Link To Document