Detail publikace

Multiple Hankel matrix rank minimization for audio inpainting

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"
}