Abstract
In this paper we provide an overview of model-based approaches to audio processing, with an emphasis on restoration and interpretable analysis. Application areas include denoising/declicking and correction of nonlinear distortions such as clipping and poor quantisation. We highlight the potential benefits arising from a carefully constructed model-based approach to audio problems, in which any prior knowledge about the generative mechanism for the data can be incorporated quantitatively into the restoration framework. We propose that model-based methods are the principal means by which high level inferences about an audio signal can be achieved in future work.
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