All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

A Survey and an Extensive Evaluation of Popular Audio Declipping Methods

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F20%3APU137902" target="_blank" >RIV/00216305:26220/20:PU137902 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/9281027" target="_blank" >https://ieeexplore.ieee.org/document/9281027</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/JSTSP.2020.3042071" target="_blank" >10.1109/JSTSP.2020.3042071</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Survey and an Extensive Evaluation of Popular Audio Declipping Methods

  • Original language description

    Dynamic range limitations in signal processing often lead to clipping, or saturation, in signals. Audio declipping is the task of estimating the original audio signal given its clipped measurements and has attracted a lot of interest in recent years. Audio declipping algorithms often make assumptions about the underlying signal, such as sparsity or low-rankness, as well as the measurement system. In this paper, we provide an extensive review of audio declipping algorithms proposed in the literature. For each algorithm, we present the assumptions being made about the audio signal, the modeling domain, as well as the optimization algorithm. Furthermore, we provide an extensive numerical evaluation of popular declipping algorithms, on real audio data. We evaluate each algorithm in terms of the Signal-to-Distortion Ratio, as well as using perceptual metrics of sound quality. The article is accompanied with the repository containing the evaluated methods.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20203 - Telecommunications

Result continuities

  • Project

    <a href="/en/project/GA20-29009S" target="_blank" >GA20-29009S: Perceptually motivated restoration of highly degraded audio signals</a><br>

  • Continuities

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

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    IEEE Journal of Selected Topics in Signal Processing

  • ISSN

    1932-4553

  • e-ISSN

    1941-0484

  • Volume of the periodical

    15

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    20

  • Pages from-to

    5-24

  • UT code for WoS article

    000616307100002

  • EID of the result in the Scopus database

    2-s2.0-85097955444