经由交叉衰落的音频去唇性能增强
Audio declipping performance enhancement via crossfading
摘要：
某些音频去削波方法产生的波形不完全遵循削波的物理过程，这就是为什么我们称它们为不一致的。这封信报告了如果不一致方法的解决方案通过后处理强制一致，对感知的影响。我们首先提出了一个简单的样本替换方法，然后我们确定其主要弱点，并提出了一个改进的变体。实验表明，绝大多数不一致的declipping方法显着受益于所提出的方法在客观的感知指标。特别是，我们表明，SS PEW方法的基础上，社会稀疏性结合所提出的方法进行比较，从一致的类的顶级方法，但在一个数量级的计算成本低。
英文摘要：
Some audio declipping methods produce waveforms that do not fully respect the physical process of clipping, which is why we refer to them as inconsistent. This letter reports what effect on perception it has if the solution by inconsistent methods is forced consistent by postprocessing. We first propose a simple sample replacement method, then we identify its main weaknesses and propose an improved variant. The experiments show that the vast majority of inconsistent declipping methods significantly benefit from the proposed approach in terms of objective perceptual metrics. In particular, we show that the SS PEW method based on social sparsity combined with the proposed method performs comparable to top methods from the consistent class, but at a computational cost of one order of magnitude lower.
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