{"id":19695786,"url":"https://github.com/wenet-e2e/nn-singal-processing-papers","last_synced_at":"2026-02-17T07:35:24.892Z","repository":{"id":171994503,"uuid":"648668544","full_name":"wenet-e2e/nn-singal-processing-papers","owner":"wenet-e2e","description":"List of NN based singal processing papers","archived":false,"fork":false,"pushed_at":"2023-06-05T05:48:05.000Z","size":9,"stargazers_count":21,"open_issues_count":1,"forks_count":1,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-10-23T04:56:03.147Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/wenet-e2e.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-06-02T14:06:22.000Z","updated_at":"2025-09-23T08:43:51.000Z","dependencies_parsed_at":null,"dependency_job_id":"14c0af41-10d8-4c6f-87ed-b121773cd087","html_url":"https://github.com/wenet-e2e/nn-singal-processing-papers","commit_stats":null,"previous_names":["wenet-e2e/nn-singal-processing-papers"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/wenet-e2e/nn-singal-processing-papers","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wenet-e2e%2Fnn-singal-processing-papers","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wenet-e2e%2Fnn-singal-processing-papers/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wenet-e2e%2Fnn-singal-processing-papers/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wenet-e2e%2Fnn-singal-processing-papers/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/wenet-e2e","download_url":"https://codeload.github.com/wenet-e2e/nn-singal-processing-papers/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wenet-e2e%2Fnn-singal-processing-papers/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29536918,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-17T05:00:25.817Z","status":"ssl_error","status_checked_at":"2026-02-17T04:57:16.126Z","response_time":100,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-11T19:30:42.053Z","updated_at":"2026-02-17T07:35:24.873Z","avatar_url":"https://github.com/wenet-e2e.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# nn-singal-processing-papers\nList of NN based singal processing papers\n\n## Adaptive Noise Suppression (Speech Enhancement)\n\n### Time-Frequency Domain\n\n- DCUnet: [Phase-aware speech enhancement with Deep Complex U-Net](https://openreview.net/pdf?id=SkeRTsAcYm) (SNU, ICLR, 2019)\n- DCCRN\n    - DCCRN: [DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement](https://arxiv.org/pdf/2008.00264.pdf) (NWPU, 2020)\n    - DCCRN+: [DCCRN+: Channel-wise Subband DCCRN with SNR Estimation for Speech Enhancement](https://arxiv.org/pdf/2106.08672.pdf) (NWPU, 2021)\n    - S-DCCRN: [S-DCCRN: Super Wide Band DCCRN with learnable complex feature for speech enhancement](https://arxiv.org/pdf/2111.08387.pdf) (NWPU, 2022)\n    - Spatial-DCCRN: [SPATIAL-DCCRN: DCCRN EQUIPPED WITH FRAME-LEVEL ANGLE FEATURE AND HYBRID FILTERING FOR MULTI-CHANNEL SPEECH ENHANCEMENT](https://arxiv.org/pdf/2210.08802.pdf) (NWPU, 2022)\n\n- DesNet: [DESNET: A MULTI-CHANNEL NETWORK FOR SIMULTANEOUS SPEECH DEREVERBERATION, ENHANCEMENT AND SEPARATION](https://arxiv.org/pdf/2011.02131.pdf) (NWPU, 2020)\n- PHASEN: [PHASEN: A Phase-and-Harmonics-Aware Speech Enhancement Network](https://arxiv.org/pdf/1911.04697.pdf) (USTC, AAAI, 2020)\n- DPCRN: [DPCRN: Dual-Path Convolution Recurrent Network for Single Channel Speech Enhancement](https://arxiv.org/pdf/2107.05429.pdf) (NJU, Interspeech, 2021)\n- BSRNN: [High Fidelity Speech Enhancement with Band-split RNN](https://arxiv.org/pdf/2212.00406.pdf)(Tencent, 2022)\n- UFormer: [Uformer: A Unet based dilated complex \u0026 real dual-path conformer network for simultaneous speech enhancement and dereverberation](https://arxiv.org/pdf/2111.06015.pdf) (NWPU, 2022)\n\n### Time Domain\n\n- WaveUnet: [Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation](https://arxiv.org/pdf/1806.03185.pdf) (QMUL,ISMIR, 2018)\n- TCNN: [TCNN: TEMPORAL CONVOLUTIONAL NEURAL NETWORK FOR REAL-TIME SPEECH ENHANCEMENT IN THE TIME DOMAIN](https://web.cse.ohio-state.edu/~wang.77/papers/Pandey-Wang1.icassp19.pdf) (Ohio, ICASSP, 2019)\n- DP-SARNN: [Dual-path Self-Attention RNN for Real-Time Speech Enhancement](https://arxiv.org/pdf/2010.12713.pdf) (Ohio, 2021)\n\n## Acoustic Echo Cancellation\n\n- wRLS-DFSMN: [Weighted Recursive Least Square Filter and Neural Network based Residual Echo Suppression for the AEC-Challenge](https://arxiv.org/pdf/2102.08551.pdf) (Alibaba, ICASSP, 2021)\n- GCCRN [Acoustic Echo Cancellation using Deep Complex Neural Network with Nonlinear Magnitude Compression and Phase Information](https://www.isca-speech.org/archive/pdfs/interspeech_2021/peng21f_interspeech.pdf) (IACAS, Interspeech, 2021)\n\n\n## Automatic Gain Control\n\n\n## Speech Seperation\n\nTODO: add important models from ESPnet and asteroid.\n\n### Single Channel\n\n\n### Multiple Channel\n\n\n## Joint Optimization\n\n- [Deep Learning for Joint Acoustic Echo and Noise Cancellation with Nonlinear Distortions](https://www.isca-speech.org/archive_v0/Interspeech_2019/pdfs/2651.pdf) (Ohio, Interspeech, 2019)\n- [Low-Complexity, Real-Time Joint Neural Echo Control and Speech Enhancement Based On PercepNet](https://arxiv.org/pdf/2102.05245.pdf) (Amazon, ICASSP, 2021)\n- NN3A: [NN3A: Neural Network supported Acoustic Echo Cancellation, Noise Suppression and Automatic Gain Control for Real-Time Communications](https://arxiv.org/pdf/2110.08437.pdf) (Alibaba, ICASSP, 2022)\n\n\n## Masking\n\n- IBM: [On Ideal Binary Mask As the Computational Goal of Auditory Scene Analysis](https://web.cse.ohio-state.edu/~wang.77/papers/Wang05.pdf) (Ohio, 2005)\n- IRM: [Ideal ratio mask estimation using deep neural networks for robust speech recognition](https://web.cse.ohio-state.edu/~wang.77/papers/Narayanan-Wang2.icassp13.pdf) (Ohio, 2013)\n- PSM: [Phase-Sensitive and Recognition-Boosted Speech Separation using Deep Recurrent Neural Networks](https://www.researchgate.net/profile/Jonathan-Le-Roux/publication/308836384_Phase-Sensitive_and_Recognition-Boosted_Speech_Separation_using_Deep_Recurrent_Neural_Networks/links/58bde44545851591c5e9badb/Phase-Sensitive-and-Recognition-Boosted-Speech-Separation-using-Deep-Recurrent-Neural-Networks.pdf) (Microsoft, 2015)\n- CRM: [Complex Ratio Masking for Monaural Speech Separation](http://web.cse.ohio-state.edu/~wang.77/papers/WWW.taslp16.pdf) (Ohio, 2015)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwenet-e2e%2Fnn-singal-processing-papers","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fwenet-e2e%2Fnn-singal-processing-papers","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwenet-e2e%2Fnn-singal-processing-papers/lists"}