论文标题
音频介绍：重新审视和重新持续
Audio Inpainting: Revisited and Reweighted
论文作者
论文摘要
我们处理基于稀疏的音频介绍的问题，即填写缺失的音频段。基于数学优化的方法的结果是填充间隙中信号的振幅不足。在基于稀疏性和凸优化的框架中，我们提出了对音频插入的改进，旨在补偿这种能量损失。新想法基于不同类型的加权，无论是在系数还是时间域中。我们表明，我们的主张从SNR和ODG方面提高了覆盖效果。
We deal with the problem of sparsity-based audio inpainting, i.e. filling in the missing segments of audio. A consequence of the approaches based on mathematical optimization is the insufficient amplitude of the signal in the filled gaps. Remaining in the framework based on sparsity and convex optimization, we propose improvements to audio inpainting, aiming at compensating for such an energy loss. The new ideas are based on different types of weighting, both in the coefficient and the time domains. We show that our propositions improve the inpainting performance in terms of both the SNR and ODG.
