Multiple Hankel matrix rank minimization for audio inpainting

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F23%3APU148587" target="_blank" >RIV/00216305:26220/23:PU148587 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/10197741" target="_blank" >https://ieeexplore.ieee.org/document/10197741</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TSP59544.2023.10197741" target="_blank" >10.1109/TSP59544.2023.10197741</a>

Result language
angličtina
Original language name
Multiple Hankel matrix rank minimization for audio inpainting
Original language description
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.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2023 46th International Conference on Telecommunications and Signal Processing (TSP)
ISBN
979-8-3503-0396-4
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
47-51
Publisher name
IEEE
Place of publication
Prague, Czech republic
Event location
Prague
Event date
Jul 12, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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