Speech Denoising

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 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.

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

3 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

30 shown of 32 papers with code (65 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.

• WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing
  26 Oct 2021 9 repositories listed
  Self-supervised learning (SSL) achieves great success in speech recognition, while limited exploration has been attempted for other speech processing tasks.
• WaveCRN: An Efficient Convolutional Recurrent Neural Network for End-to-end Speech Enhancement
  6 Apr 2020 5 repositories listed
  In WaveCRN, the speech locality feature is captured by a convolutional neural network (CNN), while the temporal sequential property of the locality feature is modeled by stacked simple recurrent units (SRU).
• Speech Denoising with Deep Feature Losses
  27 Jun 2018 5 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  We present an end-to-end deep learning approach to denoising speech signals by processing the raw waveform directly.
• CMGAN: Conformer-Based Metric-GAN for Monaural Speech Enhancement
  22 Sep 2022 2 repositories listed
  Rather than focusing exclusively on the speech denoising task, we extend this work to address the dereverberation and super-resolution tasks.
• FRA-RIR: Fast Random Approximation of the Image-source Method
  8 Aug 2022 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified
  The training of modern speech processing systems often requires a large amount of simulated room impulse response (RIR) data in order to allow the systems to generalize well in real-world, reverberant environments.
• Speech Denoising Without Clean Training Data: A Noise2Noise Approach
  8 Apr 2021 2 repositories listed
  This 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…
• Monaural Speech Enhancement with Complex Convolutional Block Attention Module and Joint Time Frequency Losses
  3 Feb 2021 2 repositories listed
  In this paper, we propose a complex convolutional block attention module (CCBAM) to boost the representation power of the complex-valued convolutional layers by constructing more informative features.
• Speech Denoising Convolutional Neural Network trained with Deep Feature Losses.
  27 Jun 2018 2 repositories listed
  We present an end-to-end deep learning approach to denoising speech signals by processing the raw waveform directly.
• Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation
  13 Feb 2015 2 repositories listed
  In this paper, we explore joint optimization of masking functions and deep recurrent neural networks for monaural source separation tasks, including monaural speech separation, monaural singing voice separation, and…
• CleanUMamba: A Compact Mamba Network for Speech Denoising using Channel Pruning
  14 Oct 2024 1 repository listed
  This paper presents CleanUMamba, a time-domain neural network architecture designed for real-time causal audio denoising directly applied to raw waveforms.
• Towards Ultra-Low-Power Neuromorphic Speech Enhancement with Spiking-FullSubNet
  7 Oct 2024 1 repository listed
  In recent years, deep learning-based methods have significantly improved speech enhancement performance, but they often come with a high computational cost, which is prohibitive for a large number of edge devices, such…
• Generative Speech Foundation Model Pretraining for High-Quality Speech Extraction and Restoration
  24 Sep 2024 1 repository listed
  The proposed method is evaluated on multiple speech restoration tasks, including speech denoising, bandwidth extension, codec artifact removal, and target speaker extraction.
• Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech Enhancement
  17 Aug 2023 1 repository listed Syntology ran 13 of 14 samples · 1 unverified
  Compared 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.
• Miipher: A Robust Speech Restoration Model Integrating Self-Supervised Speech and Text Representations
  3 Mar 2023 1 repository listed
  Experiments show that Miipher (i) is robust against various audio degradation and (ii) enable us to train a high-quality text-to-speech (TTS) model from restored speech samples collected from the Web.
• Analysing Diffusion-based Generative Approaches versus Discriminative Approaches for Speech Restoration
  4 Nov 2022 1 repository listed
  In this paper, we systematically compare the performance of generative diffusion models and discriminative approaches on different speech restoration tasks.
• Speech Dereverberation with a Reverberation Time Shortening Target
  20 Oct 2022 1 repository listed
  The 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…
• BirdSoundsDenoising: Deep Visual Audio Denoising for Bird Sounds
  18 Oct 2022 1 repository listed
  Audio denoising has been explored for decades using both traditional and deep learning-based methods.
• VoiceFixer: A Unified Framework for High-Fidelity Speech Restoration
  12 Apr 2022 1 repository listed Syntology ran 2 of 5 samples · 3 unverified
  Speech restoration aims to remove distortions in speech signals.
• Speech Denoising in the Waveform Domain with Self-Attention
  15 Feb 2022 1 repository listed
  In this work, we present CleanUNet, a causal speech denoising model on the raw waveform.
• Task-specific Optimization of Virtual Channel Linear Prediction-based Speech Dereverberation Front-End for Far-Field Speaker Verification
  27 Dec 2021 1 repository listed
  Developing a single-microphone speech denoising or dereverberation front-end for robust automatic speaker verification (ASV) in noisy far-field speaking scenarios is challenging.
• Self-Supervised Speech Denoising Using Only Noisy Audio Signals
  30 Oct 2021 1 repository listed
  The first module adopts a random audio sub-sampler on each noisy audio to generate training pairs.
• A Modulation-Domain Loss for Neural-Network-based Real-time Speech Enhancement
  15 Feb 2021 1 repository listed
  We describe a modulation-domain loss function for deep-learning-based speech enhancement systems.
• Visual Speech Enhancement Without A Real Visual Stream
  20 Dec 2020 1 repository listed
  In this work, we re-think the task of speech enhancement in unconstrained real-world environments.
• Speech Denoising with Auditory Models
  21 Nov 2020 1 repository listed
  Contemporary speech enhancement predominantly relies on audio transforms that are trained to reconstruct a clean speech waveform.
• Listening to Sounds of Silence for Speech Denoising
  22 Oct 2020 1 repository listed Syntology ran 4 of 6 samples · 2 unverified · 6 pointer-only (licence)
  We introduce a deep learning model for speech denoising, a long-standing challenge in audio analysis arising in numerous applications.
• Perceptual Loss based Speech Denoising with an ensemble of Audio Pattern Recognition and Self-Supervised Models
  22 Oct 2020 1 repository listed
  Using auxiliary models one at a time, we find acoustic event and self-supervised model PASE+ to be most effective.
• Phase-aware Single-stage Speech Denoising and Dereverberation with U-Net
  1 Jun 2020 1 repository listed
  In this work, we tackle a denoising and dereverberation problem with a single-stage framework.
• Sparse Mixture of Local Experts for Efficient Speech Enhancement
  16 May 2020 1 repository listed
  In this paper, we investigate a deep learning approach for speech denoising through an efficient ensemble of specialist neural networks.
• Boosted Locality Sensitive Hashing: Discriminative Binary Codes for Source Separation
  14 Feb 2020 1 repository listed
  Speech enhancement tasks have seen significant improvements with the advance of deep learning technology, but with the cost of increased computational complexity.
• Speech Denoising by Accumulating Per-Frequency Modeling Fluctuations
  16 Apr 2019 1 repository listed
  The method is completely unsupervised and only trains on the specific audio clip that is being denoised.

Syntology lines on 5 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.