Audio inpainting

Description from the archive archive 2025-07-28.

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Most implemented papers archive 2025-07-28

12 shown of 12 papers with code (19 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Tweaking autoregressive methods for inpainting of gaps in audio signals
  7 Mar 2024 2 repositories listed
  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.
• Algorithms for audio inpainting based on probabilistic nonnegative matrix factorization
  28 Jun 2022 2 repositories listed
  First, we treat the missing samples as latent variables, and derive two expectation-maximization algorithms for estimating the parameters of the model, depending on whether we formulate the problem in the time- or…
• Flexible framework for audio reconstruction
  29 Jul 2020 2 repositories listed
  The paper presents a unified, flexible framework for the tasks of audio inpainting, declipping, and dequantization.
• GACELA -- A generative adversarial context encoder for long audio inpainting
  11 May 2020 2 repositories listed Syntology ran 1 of 4 samples · 3 unverified
  We introduce GACELA, a generative adversarial network (GAN) designed to restore missing musical audio data with a duration ranging between hundreds of milliseconds to a few seconds, i.
• Janssen 2.0: Audio Inpainting in the Time-frequency Domain
  10 Sep 2024 1 repository listed
  The paper focuses on inpainting missing parts of an audio signal spectrogram, i.
• Diffusion-Based Audio Inpainting
  24 May 2023 1 repository listed Syntology ran 3 of 5 samples · 2 unverified
  The proposed method uses an unconditionally trained generative model, which can be conditioned in a zero-shot fashion for audio inpainting, and is able to regenerate gaps of any size.
• Msanii: High Fidelity Music Synthesis on a Shoestring Budget
  16 Jan 2023 1 repository listed Syntology ran 0 of 6 samples · 6 unverified
  In this paper, we present Msanii, a novel diffusion-based model for synthesizing long-context, high-fidelity music efficiently.
• Solving Audio Inverse Problems with a Diffusion Model
  27 Oct 2022 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  This paper presents CQT-Diff, a data-driven generative audio model that can, once trained, be used for solving various different audio inverse problems in a problem-agnostic setting.
• Deep Audio Waveform Prior
  21 Jul 2022 1 repository listed
  A network with relevant deep priors is likely to generate a cleaner version of the signal before converging on the corrupted signal.
• Approximal operator with application to audio inpainting
  4 May 2020 1 repository listed
  In their recent evaluation of time-frequency representations and structured sparsity approaches to audio inpainting, Lieb and Stark (2018) have used a particular mapping as a proximal operator.
• Audio inpainting with generative adversarial network
  13 Mar 2020 1 repository listed
  We improved the quality of the inpainting part using a new proposed WGAN architecture that uses a short-range and a long-range neighboring borders compared to the classical WGAN model.
• Audio inpainting of music by means of neural networks
  29 Oct 2018 1 repository listed
  We studied the ability of deep neural networks (DNNs) to restore missing audio content based on its context, a process usually referred to as audio inpainting.

Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.