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Revisiting synthesis model in Sparse Audio Declipper

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU127599" target="_blank" >RIV/00216305:26220/18:PU127599 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/book/10.1007%2F978-3-319-93764-9" target="_blank" >https://link.springer.com/book/10.1007%2F978-3-319-93764-9</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-93764-9_40" target="_blank" >10.1007/978-3-319-93764-9_40</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Revisiting synthesis model in Sparse Audio Declipper

  • Original language description

    The state of the art in audio declipping has currently been achieved by SPADE (SParse Audio DEclipper) algorithm by Kitic et al. Until now, the synthesis/sparse variant, S-SPADE, has been considered significantly slower than its analysis/cosparse counterpart, A-SPADE. It turns out that the opposite is true: by exploiting a recent projection lemma, individual iterations of both algorithms can be made equally computationally expensive, while S-SPADE tends to require considerably fewer iterations to converge. In this paper, the two algorithms are compared across a range of parameters such as the window length, window overlap and redundancy of the transform. The experiments show that although S-SPADE typically converges faster, the average performance in terms of restoration quality is not superior to A-SPADE.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20203 - Telecommunications

Result continuities

  • Project

    <a href="/en/project/GF17-33798L" target="_blank" >GF17-33798L: Modern restoration of lost information in digital audio</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Latent Variable Analysis and Signal Separation, 14th International Conference, LVA/ICA 2018 Proceedings

  • ISBN

    978-3-319-93764-9

  • ISSN

  • e-ISSN

  • Number of pages

    17

  • Pages from-to

    429-445

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Guildford

  • Event date

    Jul 2, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000521730400040