Godsill, SJ and Rayner, PJW (1995) Bayesian approach to the restoration of degraded audio signals. IEEE Transactions on Speech and Audio Processing, 3. pp. 267-278. ISSN 1063-6676Full text not available from this repository.
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.
|Divisions:||Div F > Signal Processing and Communications|
|Depositing User:||Cron job|
|Date Deposited:||04 Feb 2015 22:36|
|Last Modified:||13 May 2015 10:53|