National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
Audio signal restoration using the Plug-and-Play method
Švento, Michal ; Rajmic, Pavel (referee) ; Mokrý, Ondřej (advisor)
The topic of this thesis is the reconstruction of a digital audio signal that is corrupted in two ways, sample dropout and added noise. The classical approach to solving these problems are convex optimization algorithms, which are based on the sparsity of the audio signal. In this thesis, we try a new Plug-and-Play method that embeds a deep network, the denoiser, into conventional algorithms and attempt to solve these two distinct problems using a single algorithm. At the end of the paper, the algorithms are implemented and tested with the most common metrics and these results are evaluated. Modern methods have shown us that they can be more variable in the choice of parameters and offer more balanced solutions.

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