Combining multiple observations of audio signals

Ilker Bayram

doi:10.1117/12.2023853

26 September 2013 Combining multiple observations of audio signals

Ilker Bayram

Proceedings Volume 8858, Wavelets and Sparsity XV; 88580O (2013) https://doi.org/10.1117/12.2023853
Event: SPIE Optical Engineering + Applications, 2013, San Diego, California, United States

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.

Citation Download Citation

Ilker Bayram "Combining multiple observations of audio signals", Proc. SPIE 8858, Wavelets and Sparsity XV, 88580O (26 September 2013); https://doi.org/10.1117/12.2023853

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