AUDASCITY: AUdio Denoising by Adaptive Social CosparsITYReport as inadecuate

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1 PANAMA - Parcimonie et Nouveaux Algorithmes pour le Signal et la Modélisation Audio Inria Rennes – Bretagne Atlantique , IRISA D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE 2 Technicolor Cesson Sévigné

Abstract : This work aims at introducing a new algorithm, AUDASCITY, and comparing its performance to the time-frequency block thresholding algorithm for the ill-posed problem of audio denoising. We propose a heuristics which combines time-frequency structure, cosparsity, and an adaptive scheme to denoise audio signals corrupted with white noise. We report that AUDASCITY outperforms state-of-the-art for each numerical comparison. While there is still room for some perceptual improvements, AUDASCITY-s usefulness is shown when used as a front-end for a classification task.

Keywords : Audio Denoising Social Cosparsity

Author: Clément Gaultier - Srđan Kitić - Nancy Bertin - Rémi Gribonval -



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