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A Bayesian Approach to the Restoration of Degraded Audio Signals
Authors
,
SJ Godsill
PJW Rayner
Publication date
1 January 1995
Publisher
Abstract
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 IEE
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CUED - Cambridge University Engineering Department
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Last time updated on 15/07/2020