Multiple Hankel matrix rank minimization for audio inpainting
Audio and Speech Processing
2024-01-08 v2
Abstract
Sasaki et al. (2018) presented an efficient audio declipping algorithm, based on the properties of Hankel-structure matrices constructed from time-domain signal blocks. We adapt their approach to solving the audio inpainting problem, where samples are missing in the signal. We analyze the algorithm and provide modifications, some of them leading to an improved performance. Overall, it turns out that the new algorithms perform reasonably well for speech signals but they are not competitive in the case of music signals.
Cite
@article{arxiv.2303.18023,
title = {Multiple Hankel matrix rank minimization for audio inpainting},
author = {Pavel Záviška and Pavel Rajmic and Ondřej Mokrý},
journal= {arXiv preprint arXiv:2303.18023},
year = {2024}
}