Browse State-of-the-Art › Speech Dereverberation
Speech Dereverberation
20 papers with code · 5 benchmarks · 6 datasets archive 2025-07-28
Removing reverberation from audio signals
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
5 leaderboard tables shown for this task, 5 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 |
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| WHAMR! (3 rows) | WD-TCN | Utterance Weighted Multi-Dilation Temporal Convolutional Networks... | code | — | Compare |
| Deep Noise Suppression (DNS) Challenge (2 rows) | Conv-TasNet-SNR | Exploring the Best Loss Function for DNN-Based Low-latency Speech... | — | — | Compare |
| EARS-Reverb (1 row) | SGMSE+ | Speech Enhancement and Dereverberation with Diffusion-based... | code | — | Compare |
| spatialized WSJCAM0 (1 row) | DeFT-AN | DeFT-AN: Dense Frequency-Time Attentive Network for Multichannel... | code | — | Compare |
| WHAMR_ext (1 row) | Conv-TasNet DAE | Receptive Field Analysis of Temporal Convolutional Networks for... | 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
6 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.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
20 shown of 20 papers with code (50 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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30 Nov 2023 2 repositories listedWe propose AV-RIR, a novel multi-modal multi-task learning approach to accurately estimate the RIR from a given reverberant speech signal and the visual cues of its corresponding environment.
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22 Dec 2022 2 repositories listed Syntology ran 1 of 6 samples · 5 unverifiedAs diffusion models are generative approaches they may also produce vocalizing and breathing artifacts in adverse conditions.
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27 Oct 2022 2 repositories listedIn this work deformable convolution is proposed as a solution to allow TCN models to have dynamic RFs that can adapt to various reverberation times for reverberant speech separation.
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18 May 2022 2 repositories listed Syntology ran 6 of 6 samples · 0 unverified · 6 pointer-only (licence)We show that the acoustic metrics of the IRs predicted from our MESH2IR match the ground truth with less than 10% error.
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11 Feb 2025 1 repository listedReverberant speech, denoting the speech signal degraded by the process of reverberation, contains crucial knowledge of both anechoic source speech and room impulse response (RIR).
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17 May 2024 1 repository listedThis paper summarizes our acoustic modeling efforts in the Johns Hopkins University speech recognition system for the CHiME-5 challenge to recognize highly-overlapped dinner party speech recorded by multiple microphone…
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15 Sep 2023 1 repository listedIn this work, we propose a generative dereverberation method.
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17 Aug 2023 1 repository listed Syntology ran 13 of 14 samples · 1 unverifiedCompared to existing phase-aware speech enhancement methods, it further mitigates the compensation effect between the magnitude and phase by explicit phase estimation, elevating the perceptual quality of enhanced speech.
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15 Dec 2022 1 repository listedIn this study, we propose a dense frequency-time attentive network (DeFT-AN) for multichannel speech enhancement.
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4 Nov 2022 1 repository listedIn this paper, we systematically compare the performance of generative diffusion models and discriminative approaches on different speech restoration tasks.
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20 Oct 2022 1 repository listedThe proposed RTS target suppresses reverberation and meanwhile maintains the exponential decaying property of reverberation, which will ease the network training, and thus reduce signal distortion caused by the…
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11 Aug 2022 1 repository listedThis matches our forward process which moves from clean speech to noisy speech by including a drift term.
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17 May 2022 1 repository listedIt is shown that this weighted multi-dilation temporal convolutional network (WD-TCN) consistently outperforms the TCN across various model configurations and using the WD-TCN model is a more parameter efficient method…
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13 Apr 2022 1 repository listedA feature of TCNs is that they have a receptive field (RF) dependent on the specific model configuration which determines the number of input frames that can be observed to produce an individual output frame.
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27 Dec 2021 1 repository listedDeveloping a single-microphone speech denoising or dereverberation front-end for robust automatic speaker verification (ASV) in noisy far-field speaking scenarios is challenging.
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5 Oct 2021 1 repository listedIn real-world settings, speech signals are almost always affected by reverberation produced by the working environment; these corrupted signals need to be \emph{dereverberated} prior to performing, e.
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29 Jul 2021 1 repository listedKnowing the geometrical and acoustical parameters of a room may benefit applications such as audio augmented reality, speech dereverberation or audio forensics.
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10 Jun 2020 1 repository listedReal-world audio recordings are often degraded by factors such as noise, reverberation, and equalization distortion.
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2 Sep 2018 1 repository listedWe investigate the recently proposed Time-domain Audio Sep-aration Network (TasNet) in the task of real-time single-channel speech dereverberation.
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27 Mar 2018 1 repository listedFirst, we study the effectiveness of different dereverberation networks (the generator in GAN) and find that LSTM leads a significant improvement as compared with feed-forward DNN and CNN in our dataset.
Syntology lines on 3 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.
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