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
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;
Conference_Titel :
Communications Control and Signal Processing (ISCCSP), 2012 5th International Symposium on
Conference_Location :
Rome
Print_ISBN :
978-1-4673-0274-6
DOI :
10.1109/ISCCSP.2012.6217781
