Browse State-of-the-Art › Audio Denoising
Audio Denoising
10 papers with code · 3 benchmarks · 2 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
3 leaderboard tables shown for this task, 3 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| AV-Bench - Guitar Solo (1 row) | Co-Separation | Co-Separating Sounds of Visual Objects | code | — | Compare |
| AV-Bench - Violin Yanni (1 row) | Co-Separation | Co-Separating Sounds of Visual Objects | code | — | Compare |
| AV-Bench - Wooden Horse (1 row) | Co-Separation | Co-Separating Sounds of Visual Objects | code | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
2 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
10 shown of 10 papers with code (20 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.
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16 Apr 2019 3 repositories listedLearning how objects sound from video is challenging, since they often heavily overlap in a single audio channel.
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8 Apr 2021 2 repositories listedThis paper tackles the problem of the heavy dependence of clean speech data required by deep learning based audio-denoising methods by showing that it is possible to train deep speech denoising networks using only noisy…
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5 Apr 2018 2 repositories listedOur work is the first to learn audio source separation from large-scale "in the wild" videos containing multiple audio sources per video.
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14 Oct 2024 1 repository listedThis paper presents CleanUMamba, a time-domain neural network architecture designed for real-time causal audio denoising directly applied to raw waveforms.
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24 Oct 2023 1 repository listedAchieving high-performance audio denoising is still a challenging task in real-world applications.
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16 Mar 2023 1 repository listedA critical enabler for progress in neuromorphic computing research is the ability to transparently evaluate different neuromorphic solutions on important tasks and to compare them to state-of-the-art conventional…
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18 Oct 2022 1 repository listedAudio denoising has been explored for decades using both traditional and deep learning-based methods.
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30 Oct 2021 1 repository listedThe first module adopts a random audio sub-sampler on each noisy audio to generate training pairs.
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14 Apr 2021 1 repository listedUnsupervised deep learning methods for solving audio restoration problems extensively rely on carefully tailored neural architectures that carry strong inductive biases for defining priors in the time or spectral domain.
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16 Apr 2019 1 repository listedThe method is completely unsupervised and only trains on the specific audio clip that is being denoised.
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