mlsanityData to 7 Oct 2026

DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement

arXiv 2008.00264 ↗First posted 1 Aug 2020eess.AS cs.SDcited by 133

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Cited by 21 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Speech enhancement has benefited from the success of deep learning in terms of intelligibility and perceptual quality. Conventional time-frequency (TF) domain methods focus on predicting TF-masks or speech spectrum, via a naive convolution neural network (CNN) or recurrent neural network (RNN). Some recent studies use complex-valued spectrogram as a training target but train in a real-valued network, predicting the magnitude and phase component or real and imaginary part, respectively. Particularly, convolution recurrent network (CRN) integrates a convolutional encoder-decoder (CED) structure and long short-term memory (LSTM), which has been proven to be helpful for complex targets. In order to train the complex target more effectively, in this paper, we design a new network structure simulating the complex-valued operation, called Deep Complex Convolution Recurrent Network (DCCRN), where both CNN and RNN structures can handle complex-valued operation. The proposed DCCRN models are very competitive over other previous networks, either on objective or subjective metric. With only 3.7M parameters, our DCCRN models submitted to the Interspeech 2020 Deep Noise Suppression (DNS) challenge ranked first for the real-time-track and second for the non-real-time track in terms of Mean Opinion Score (MOS).

Key facts. Cited by 133 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Aug 2020.

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Citing papers per year: 2021: 11; 2022: 21; 2023: 30; 2024: 20; 2025: 31; 2026: 20.

133 papers.

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  1. 2023SpeechX: Neural Codec Language Model as a Versatile Speech Transformercited by 64
  2. 2024Mamba in Speech: Towards an Alternative to Self-Attentioncited by 58
  3. 2021DeepFilterNet: A Low Complexity Speech Enhancement Framework for Full-Band Audio based on Deep Filteringcited by 38
  4. 2022Cold Diffusion for Speech Enhancementcited by 31
  5. 2025Investigation of Whisper ASR Hallucinations Induced by Non-Speech Audiocited by 31
  6. 2022FullSubNet+: Channel Attention FullSubNet with Complex Spectrograms for Speech Enhancementcited by 28
  7. 2022Towards Building Text-To-Speech Systems for the Next Billion Userscited by 27
  8. 2022DeepFilterNet2: Towards Real-Time Speech Enhancement on Embedded Devices for Full-Band Audiocited by 23
  9. 2022CMGAN: Conformer-Based Metric-GAN for Monaural Speech Enhancementcited by 22
  10. 2025FlowSE: Flow Matching-based Speech Enhancementcited by 20
  11. 2021Transformers with Competitive Ensembles of Independent Mechanismscited by 19
  12. 2021Dual-branch Attention-In-Attention Transformer for single-channel speech enhancementcited by 18
38 more
  1. 2021Personalized Speech Enhancement: New Models and Comprehensive Evaluationcited by 18
  2. 2025FlowSE: Efficient and High-Quality Speech Enhancement via Flow Matchingcited by 17
  3. 2021Real-time Denoising and Dereverberation with Tiny Recurrent U-Netcited by 16
  4. 2023Building Blocks for a Complex-Valued Transformer Architecturecited by 16
  5. 2021Improving Noise Robustness of Contrastive Speech Representation Learning with Speech Reconstructioncited by 12
  6. 2022Resource-Efficient Separation Transformercited by 11
  7. 2024Look Once to Hear: Target Speech Hearing with Noisy Examplescited by 11
  8. 2023Investigating the Design Space of Diffusion Models for Speech Enhancementcited by 10
  9. 2022McNet: Fuse Multiple Cues for Multichannel Speech Enhancementcited by 9
  10. 2023A Multi-dimensional Deep Structured State Space Approach to Speech Enhancement Using Small-footprint Modelscited by 9
  11. 2021Hybrid Neural Networks for On-device Directional Hearingcited by 8
  12. 2022ESPnet-SE++: Speech Enhancement for Robust Speech Recognition, Translation, and Understandingcited by 8
  13. 2022Accelerating RNN-based Speech Enhancement on a Multi-Core MCU with Mixed FP16-INT8 Post-Training Quantizationcited by 8
  14. 2023DDTSE: Discriminative Diffusion Model for Target Speech Extractioncited by 8
  15. 2023Diffusion-Based Speech Enhancement in Matched and Mismatched Conditions Using a Heun-Based Samplercited by 8
  16. 2024Diffusion-based Generative Modeling with Discriminative Guidance for Streamable Speech Enhancementcited by 8
  17. 2023uSee: Unified Speech Enhancement and Editing with Conditional Diffusion Modelscited by 7
  18. 2023Ultra Low Complexity Deep Learning Based Noise Suppressioncited by 7
  19. 2021End-to-End Complex-Valued Multidilated Convolutional Neural Network for Joint Acoustic Echo Cancellation and Noise Suppressioncited by 6
  20. 2022SkipConvGAN: Monaural Speech Dereverberation using Generative Adversarial Networks via Complex Time-Frequency Maskingcited by 6
  21. 2023Rethinking complex-valued deep neural networks for monaural speech enhancementcited by 6
  22. 2023Spatial-Frequency Attention for Image Denoisingcited by 6
  23. 2023Complex Mixer for MedMNIST Classification Decathloncited by 6
  24. 2023mdctGAN: Taming transformer-based GAN for speech super-resolution with Modified DCT spectracited by 6
  25. 2023Assessing the Generalization Gap of Learning-Based Speech Enhancement Systems in Noisy and Reverberant Environmentscited by 6
  26. 2025FlowTSE: Target Speaker Extraction with Flow Matchingcited by 6
  27. 2025MeanFlowSE: one-step generative speech enhancement via conditional mean flowcited by 6
  28. 2021Monaural Speech Enhancement with Complex Convolutional Block Attention Module and Joint Time Frequency Lossescited by 5
  29. 2022Phase-Aware Deep Speech Enhancement: It's All About The Frame Lengthcited by 5
  30. 2023On the Behavior of Intrusive and Non-intrusive Speech Enhancement Metrics in Predictive and Generative Settingscited by 5
  31. 2023Single Channel Speech Enhancement Using U-Net Spiking Neural Networkscited by 5
  32. 2024Dynamic Gated Recurrent Neural Network for Compute-efficient Speech Enhancementcited by 5
  33. 2022Exploring Self-Attention Mechanisms for Speech Separationcited by 4
  34. 2023UNSSOR: Unsupervised Neural Speech Separation by Leveraging Over-determined Training Mixturescited by 4
  35. 2023A Comprehensive Study on the Effectiveness of ASR Representations for Noise-Robust Speech Emotion Recognitioncited by 4
  36. 2024SonicSim: A customizable simulation platform for speech processing in moving sound source scenarioscited by 4
  37. 2025UniFlow: Unifying Speech Front-End Tasks via Continuous Generative Modelingcited by 4
  38. 2022The Volcspeech system for the ICASSP 2022 multi-channel multi-party meeting transcription challengecited by 3

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