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DNS Challenge (Deep Noise Suppression Challenge)

Introduced by Chandan K. A. Reddy et al. in The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Speech Quality and Testing Framework23 Jan 2020 archive 2025-07-28

The DNS Challenge at INTERSPEECH 2020 intended to promote collaborative research in single-channel Speech Enhancement aimed to maximize the perceptual quality and intelligibility of the enhanced speech. The challenge evaluated the speech quality using the online subjective evaluation framework ITU-T P.808. The challenge provides large datasets for training noise suppressors.

Source: Deep Noise Suppression Challenge – INTERSPEECH 2020

HomepageBenchmarksPapers JSON

Benchmarks archive 2025-07-28

All 3 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Speech Enhancement Deep Noise Suppression (DNS) Challenge ZipEnhancer (M) PESQ-WB 3.81 — — 36 Compare
Speech Enhancement DNS Challenge ZipEnhancer (M) PESQ-NB 4.08 — — 5 Compare
Speech Dereverberation Deep Noise Suppression (DNS) Challenge Conv-TasNet-SNR PESQ 2.75 Exploring the Best Loss Function for DNN-Based... — 2 Compare

Papers archive 2025-07-28

22 shown of 22 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 48. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
MambAttention: Mamba with Multi-Head Attention for Generalizable Single-Channel Speech Enhancement 2 2 1 Jul 2025 not harvested
aTENNuate: Optimized Real-time Speech Enhancement with Deep SSMs on Raw Audio 0 1 5 Sep 2024 not harvested
TF-Locoformer: Transformer with Local Modeling by Convolution for Speech Separation and Enhancement 1 1 6 Aug 2024 not harvested
CleanUNet 2: A Hybrid Speech Denoising Model on Waveform and Spectrogram 0 1 12 Sep 2023 not harvested
Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech Enhancement 1 1 17 Aug 2023 ran 13 of 14 samples (1 unverified)
A Mask Free Neural Network for Monaural Speech Enhancement 2 1 7 Jun 2023 ran 2 of 2 samples (0 unverified; 2 pointer-only for licence)
High Fidelity Speech Enhancement with Band-split RNN 1 5 1 Dec 2022 not harvested
FullSubNet+: Channel Attention FullSubNet with Complex Spectrograms for Speech Enhancement 2 1 23 Mar 2022 ran 0 of 1 samples (1 unverified)
RemixIT: Continual self-training of speech enhancement models via bootstrapped remixing 2 2 17 Feb 2022 ran 1 of 4 samples (3 unverified)
Speech Denoising in the Waveform Domain with Self-Attention 1 1 15 Feb 2022 not harvested
Continual self-training with bootstrapped remixing for speech enhancement 1 2 19 Oct 2021 not harvested
A Modulation-Domain Loss for Neural-Network-based Real-time Speech Enhancement 1 2 15 Feb 2021 not harvested
Real-time Monaural Speech Enhancement With Short-time Discrete Cosine Transform 0 4 9 Feb 2021 not harvested
Monaural Speech Enhancement with Complex Convolutional Block Attention Module and Joint Time Frequency Losses 2 4 3 Feb 2021 not harvested
Interactive Speech and Noise Modeling for Speech Enhancement 0 1 17 Dec 2020 not harvested
FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement 6 1 29 Oct 2020 ran 1 of 21 samples (20 unverified)
Exploring the Best Loss Function for DNN-Based Low-latency Speech Enhancement with Temporal Convolutional Networks 0 3 20 Aug 2020 not harvested
PoCoNet: Better Speech Enhancement with Frequency-Positional Embeddings, Semi-Supervised Conversational Data, and Biased Loss 0 1 11 Aug 2020 not harvested
Phase-aware Single-stage Speech Denoising and Dereverberation with U-Net 1 1 1 Jun 2020 not harvested
Weighted Speech Distortion Losses for Neural-network-based Real-time Speech Enhancement 3 1 12 Feb 2020 not harvested
Dual-Signal Transformation LSTM Network for Real-Time Noise Suppression 2 1 ran 0 of 4 samples (4 unverified)
DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement 7 2 ran 5 of 15 samples (10 unverified)

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Speech EnhancementAudio Source SeparationSpeech Dereverberation

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • Deep Noise Suppression (DNS) Challenge
  • DNS Challenge
  • ICASSP 2021 Deep Noise Suppression Challenge
  • Interspeech 2021 Deep Noise Suppression Challenge

4 variant names, as the archive lists them.

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