CUED Publications database

A Bayesian Approach to the Restoration of Degraded Audio Signals

Godsill, SJ and Rayner, PJW (1995) A Bayesian Approach to the Restoration of Degraded Audio Signals. IEEE Transactions on Speech and Audio Processing, 3. pp. 267-278. ISSN 1063-6676

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In this paper we derive the a posteriori probability for the location of bursts of noise additively superimposed on a Gaussian AR process. The theory is developed to give a sequentially based restoration algorithm suitable for real-time applications. The algorithm is particularly appropriate for digital audio restoration, where clicks and scratches may be modelled as additive bursts of noise. Experiments are carried out on both real audio data and synthetic AR processes and Significant improvements are demonstrated over existing restoration techniques. © 1995 IEEE

Item Type: Article
Divisions: Div F > Signal Processing and Communications
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:24
Last Modified: 17 Oct 2019 02:50
DOI: 10.1109/89.397091