Abstract
A novel sparsity-based algorithm for audio inpainting is proposed by translating the SPADE algorithm by Kiti\'c et. al.---the state-of-the-art for audio declipping---into the task of audio inpainting. SPAIN (SParse Audio INpainter) comes in synthesis and analysis variants. Experiments show that both A-SPAIN and S-SPAIN outperform other sparsity-based inpainting algorithms and that A-SPAIN performs on a par with the state-of-the-art method based on linear prediction.
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URL
https://arxiv.org/abs/1810.13137
