Similarity graphs for the concealment of long duration data loss in music

The loss or corruption of data segments of considerable duration is a very common issue in data restoration and transmission. In audio applications in particular, the insertion of perceptually pleasing content is very important. A good insertion would prevent audible artifacts and provide a coherent and meaningful signal to the listener who would, optimally, remain unaware that any problem has occurred. This task has recently become known as audio inpainting [1], but has previously been referred to e.g. as audio interpolation [2] or waveform substitution [3]. Audio inpainting aims at reconstructing missing parts of an audio signal. When missing parts have a length no longer than 50ms, sparsity-based techniques can be successful [1], [4], [5].