Interpolation of missing samples for audio restoration

摘要

The aim of the Letter is to outline a method for restoring missing samples in digital audio signals. The section of audio signal in question is modelled as a stationary autoregressive process, and missing samples are imputed using a Markov chain Monte Carlo approach known as the Gibbs sampler. Experimental results indicate superior performance to other techniques.