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SPADE Toolbox

Abstract

This demo code allows to reproduce audio declipping and audio denoising experiments from the following publications: [1] Gaultier, C., Kitić, S., Bertin, N., & Gribonval, R. (2017, August). AUDASCITY: AUdio denoising by adaptive social CosparsITY. In 2017 25th European Signal Processing Conference (EUSIPCO) (pp. 1265-1269). IEEE. [2] Gaultier, C., Kitić, S., Bertin, N., & Gribonval, R. Cosparse Denoising: The Importance of Being Social. The Signal Processing with Adaptive Sparse Structured Representations (SPARS) workshop, Jun 2017, Lisbon, Portugal. [3] Gaultier, C., Bertin, N., Kitić, S., & Gribonval, R. A modeling and algorithmic framework for (non)social (co)sparse audio restoration, Research report [4] Gaultier, C., Design and evaluation of sparse models and algorithms for audio inverse problems, PhD, University of Rennes 1 [5] Gaultier, C., Kitić, S., Gribonval, R., & Bertin, N. Sparsity-based audio declipping methods: selected overview, new algorithms, and large-scale evaluation (to appear)
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