I’m very proud to announce the release of a new kind of audio inpainting algorithm. It is able to reconstruct long missing parts of a song by searching through the rest of the content for a suitable replacement.
In this contribution, we present a method to compensate for long duration data gaps in audio signals, in particular music. To achieve this task, a similarity graph is constructed, based on a short-time Fourier analysis of reliable signal segments, e.g. the uncorrupted remainder of the music piece, and the temporal regions adjacent to the unreliable section of the signal. A suitable candidate segment is then selected through an optimization scheme and smoothly inserted into the gap.