Share Email Print

Proceedings Paper

Combining multiple observations of audio signals
Author(s): Ilker Bayram
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

We consider the problem of reconstructing an audio signal from multiple observations, each of which is contaminated with time-varying noise. Assuming that the time-variation is different for each observation, we propose an estimation formulation that can adapt to these changes. Specifically, we postulate a parametric reconstruction and choose the parameters so that the reconstruction minimizes a cost function. The cost function is selected so that audio signals are penalized less compared to arbitrary signals with the same energy. As cost functions, we experiment with a recently proposed prior as well as mixed norms placed on the short time Fourier coefficients.

Paper Details

Date Published: 26 September 2013
PDF: 15 pages
Proc. SPIE 8858, Wavelets and Sparsity XV, 88580O (26 September 2013); doi: 10.1117/12.2023853
Show Author Affiliations
Ilker Bayram, Istanbul Technical Univ. (Turkey)

Published in SPIE Proceedings Vol. 8858:
Wavelets and Sparsity XV
Dimitri Van De Ville; Vivek K. Goyal; Manos Papadakis, Editor(s)

© SPIE. Terms of Use
Back to Top