mlsanityData to 7 Oct 2026

Interspeech 2021 Deep Noise Suppression Challenge

arXiv 2101.01902 ↗First posted 6 Jan 2021cs.SD cs.LG eess.AScited by 43

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Abstract (arXiv)

The Deep Noise Suppression (DNS) challenge is designed to foster innovation in the area of noise suppression to achieve superior perceptual speech quality. We recently organized a DNS challenge special session at INTERSPEECH and ICASSP 2020. We open-sourced training and test datasets for the wideband scenario. We also open-sourced a subjective evaluation framework based on ITU-T standard P.808, which was also used to evaluate participants of the challenge. Many researchers from academia and industry made significant contributions to push the field forward, yet even the best noise suppressor was far from achieving superior speech quality in challenging scenarios. In this version of the challenge organized at INTERSPEECH 2021, we are expanding both our training and test datasets to accommodate full band scenarios. The two tracks in this challenge will focus on real-time denoising for (i) wide band, and(ii) full band scenarios. We are also making available a reliable non-intrusive objective speech quality metric called DNSMOS for the participants to use during their development phase.

Key facts. Cited by 43 papers in the map (data through 7 Oct 2026). Builds on 12 of its 25 references that are in the map. First posted on arXiv 6 Jan 2021.

Builds on

12 of 25 references.

References · 12

  1. 2017AISHELL-1: An Open-Source Mandarin Speech Corpus and A Speech Recognition Baselinecited by 364
  2. 2020DNSMOS: A Non-Intrusive Perceptual Objective Speech Quality metric to evaluate Noise Suppressorscited by 235
  3. 2020The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Resultscited by 128
  4. 2019A scalable noisy speech dataset and online subjective test frameworkcited by 47
  5. 2015THCHS-30 : A Free Chinese Speech Corpuscited by 43
  6. 2020An Open source Implementation of ITU-T Recommendation P.808 with Validationcited by 27
  7. 2020ICASSP 2021 Deep Noise Suppression Challengecited by 27
  8. 2017Raw Waveform-based Speech Enhancement by Fully Convolutional Networkscited by 24
  9. 2020Exploring the Best Loss Function for DNN-Based Low-latency Speech Enhancement with Temporal Convolutional Networkscited by 10
  10. 2020Phase-aware Single-stage Speech Denoising and Dereverberation with U-Netcited by 7
  11. 2018An individualized super Gaussian single microphone Speech Enhancement for hearing aid users with smartphone as an assistive devicecited by 4
  12. 2020Subjective Evaluation of Noise Suppression Algorithms in Crowdsourcingcited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 7; 2022: 11; 2023: 8; 2024: 5; 2025: 8; 2026: 4.

43 papers.

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  1. 2021WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processingcited by 1,609
  2. 2022BEATs: Audio Pre-Training with Acoustic Tokenizerscited by 378
  3. 2023GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restorationcited by 58
  4. 2024Towards Robust Speech Representation Learning for Thousands of Languagescited by 48
  5. 2021DeepFilterNet: A Low Complexity Speech Enhancement Framework for Full-Band Audio based on Deep Filteringcited by 38
  6. 2022FullSubNet+: Channel Attention FullSubNet with Complex Spectrograms for Speech Enhancementcited by 28
  7. 2022DeepFilterNet2: Towards Real-Time Speech Enhancement on Embedded Devices for Full-Band Audiocited by 23
  8. 2021Personalized Speech Enhancement: New Models and Comprehensive Evaluationcited by 18
  9. 2025Audio Super-Resolution with Latent Bridge Modelscited by 13
  10. 2022Music Enhancement via Image Translation and Vocodingcited by 11
  11. 2022ESPnet-SE++: Speech Enhancement for Robust Speech Recognition, Translation, and Understandingcited by 8
  12. 2022Accelerating RNN-based Speech Enhancement on a Multi-Core MCU with Mixed FP16-INT8 Post-Training Quantizationcited by 8
31 more
  1. 2024Self-Supervised Speech Quality Estimation and Enhancement Using Only Clean Speechcited by 7
  2. 2023Spatial LibriSpeech: An Augmented Dataset for Spatial Audio Learningcited by 6
  3. 2022MetricGAN+/-: Increasing Robustness of Noise Reduction on Unseen Datacited by 5
  4. 2025VoiceBridge: General Speech Restoration with One-step Latent Bridge Modelscited by 4
  5. 2023A Mask Free Neural Network for Monaural Speech Enhancementcited by 3
  6. 2025Accelerating Linear Recurrent Neural Networks for the Edge with Unstructured Sparsitycited by 3
  7. 2025Towards Real-Time Generative Speech Restoration with Flow-Matchingcited by 3
  8. 2021A Benchmarking on Cloud based Speech-To-Text Services for French Speech and Background Noise Effectcited by 2
  9. 2023Modality Confidence Aware Training for Robust End-to-End Spoken Language Understandingcited by 2
  10. 2023Ultra Dual-Path Compression For Joint Echo Cancellation And Noise Suppressioncited by 2
  11. 2023Spatial HuBERT: Self-supervised Spatial Speech Representation Learning for a Single Talker from Multi-channel Audiocited by 2
  12. 2024Towards Sub-millisecond Latency Real-Time Speech Enhancement Models on Hearablescited by 2
  13. 2025CleanMel: Mel-Spectrogram Enhancement for Improving Both Speech Quality and ASRcited by 2
  14. 2025A Semantic Information-based Hierarchical Speech Enhancement Method Using Factorized Codec and Diffusion Modelcited by 2
  15. 2026Rethinking Flow and Diffusion Bridge Models for Speech Enhancementcited by 2
  16. 2021A Training Framework for Stereo-Aware Speech Enhancement using Deep Neural Networkscited by 1
  17. 2021Augmented Contrastive Self-Supervised Learning for Audio Invariant Representationscited by 1
  18. 2022Egocentric Audio-Visual Noise Suppressioncited by 1
  19. 2022Leveraging Heteroscedastic Uncertainty in Learning Complex Spectral Mapping for Single-channel Speech Enhancementcited by 1
  20. 2023MBTFNet: Multi-Band Temporal-Frequency Neural Network For Singing Voice Enhancementcited by 1
  21. 2024A Closer Look at Wav2Vec2 Embeddings for On-Device Single-Channel Speech Enhancementcited by 1
  22. 2025Efficient Audiovisual Speech Processing via MUTUD: Multimodal Training and Unimodal Deploymentcited by 1
  23. 2021Performance optimizations on deep noise suppression modelscited by 0
  24. 2022NAS-VAD: Neural Architecture Search for Voice Activity Detectioncited by 0
  25. 2022Challenges and Opportunities in Multi-device Speech Processingcited by 0
  26. 2023Time-Variance Aware Real-Time Speech Enhancementcited by 0
  27. 2024Objective and subjective evaluation of speech enhancement methods in the UDASE task of the 7th CHiME challengecited by 0
  28. 2025UL-UNAS: Ultra-Lightweight U-Nets for Real-Time Speech Enhancement via Network Architecture Searchcited by 0
  29. 2026Real-time Speech Restoration using Data Prediction Mean Flowscited by 0
  30. 2026QC-GAN: A Parameter-Efficient Quaternion Conformer GAN for High-Fidelity Speech Enhancementcited by 0
  31. 2026ZipCodec: Ultra-Low-Frame-Rate Streaming Speech Codingcited by 0