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ZÁVIŠKA, P. RAJMIC, P. MOKRÝ, O.
Originální název
Multiple Hankel matrix rank minimization for audio inpainting
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
audio inpainting; audio declipping; rank minimization; Hankel matrix; autoregression
Autoři
ZÁVIŠKA, P.; RAJMIC, P.; MOKRÝ, O.
Vydáno
4. 8. 2023
Nakladatel
IEEE
Místo
Prague, Czech republic
ISBN
979-8-3503-0396-4
Kniha
Proceedings of the 2023 46th International Conference on Telecommunications and Signal Processing (TSP)
Strany od
47
Strany do
51
Strany počet
5
URL
https://ieeexplore.ieee.org/document/10197741
BibTex
@inproceedings{BUT184100, author="Pavel {Záviška} and Pavel {Rajmic} and Ondřej {Mokrý}", title="Multiple Hankel matrix rank minimization for audio inpainting", booktitle="Proceedings of the 2023 46th International Conference on Telecommunications and Signal Processing (TSP)", year="2023", pages="47--51", publisher="IEEE", address="Prague, Czech republic", doi="10.1109/TSP59544.2023.10197741", isbn="979-8-3503-0396-4", url="https://ieeexplore.ieee.org/document/10197741" }