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Tweaking autoregressive methods for inpainting of gaps in audio signals

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F26%3A0198878" target="_blank" >RIV/00216305:26220/26:0198878 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/11226154" target="_blank" >https://ieeexplore.ieee.org/document/11226154</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.23919/EUSIPCO63237.2025.11226154" target="_blank" >10.23919/EUSIPCO63237.2025.11226154</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Tweaking autoregressive methods for inpainting of gaps in audio signals

  • Original language description

    A novel variant of the Janssen method for audio inpainting is presented and compared to other popular audio inpainting methods based on autoregressive (AR) modeling. Both conceptual differences and practical implications are discussed. The experiments demonstrate the importance of the choice of the AR model estimator, window/context length, and model order. The results show the superiority of the proposed gap-wise Janssen approach using objective metrics, which is confirmed by a listening test.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20200 - Electrical engineering, Electronic engineering, Information engineering

Result continuities

  • Project

    <a href="/en/project/GA23-07294S" target="_blank" >GA23-07294S: From perceptron to perception: psychoacoustically motivated audio reconstruction using learned components</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2025

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2025 33rd European Signal Processing Conference (EUSIPCO)

  • ISBN

    978-9-46-459362-4

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    311-315

  • Publisher name

  • Place of publication

  • Event location

    Isola delle Femmine – Palermo

  • Event date

    Sep 8, 2025

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article