| TPARN: Triple-Path Attentive Recurrent Network for Time-Domain Multichannel Speech Enhancement. | 0 | 0.34 | 2022 |
| Fusing Bone-Conduction and Air-Conduction Sensors for Complex-Domain Speech Enhancement | 0 | 0.34 | 2022 |
| Localization based Sequential Grouping for Continuous Speech Separation | 0 | 0.34 | 2022 |
| NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training | 0 | 0.34 | 2022 |
| Cross-Domain Speech Enhancement with a Neural Cascade Architecture. | 0 | 0.34 | 2022 |
| Neural Cascade Architecture for Joint Acoustic Echo and Noise Suppression. | 0 | 0.34 | 2022 |
| REAL-TIME SPEECH ENHANCEMENT FOR MOBILE COMMUNICATION BASED ON DUAL-CHANNEL COMPLEX SPECTRAL MAPPING | 0 | 0.34 | 2021 |
| COMPRESSING DEEP NEURAL NETWORKS FOR EFFICIENT SPEECH ENHANCEMENT | 0 | 0.34 | 2021 |
| A Deep Learning Approach to Multi-Channel and Multi-Microphone Acoustic Echo Cancellation. | 1 | 0.37 | 2021 |
| Maintaining the Publication Infrastructure in a Worldwide Pandemic | 0 | 0.34 | 2021 |
| A Deep Learning Method to Multi-Channel Active Noise Control. | 0 | 0.34 | 2021 |
| Count And Separate: Incorporating Speaker Counting For Continuous Speaker Separation | 0 | 0.34 | 2021 |
| Deep ANC: A deep learning approach to active noise control | 2 | 0.71 | 2021 |
| TIME-DOMAIN LOSS MODULATION BASED ON OVERLAP RATIO FOR MONAURAL CONVERSATIONAL SPEAKER SEPARATION | 0 | 0.34 | 2021 |
| Bridging the Gap Between Monaural Speech Enhancement and Recognition With Distortion-Independent Acoustic Modeling | 1 | 0.35 | 2020 |
| A Deep Learning Approach to Active Noise Control. | 0 | 0.34 | 2020 |
| Noisy-Reverberant Speech Enhancement Using DenseUNet with Time-Frequency Attention. | 3 | 0.41 | 2020 |
| Enhanced Spectral Features for Distortion-Independent Acoustic Modeling | 0 | 0.34 | 2019 |
| Deep Learning Based Multi-Channel Speaker Recognition in Noisy and Reverberant Environments | 2 | 0.36 | 2019 |
| Tcnn: Temporal Convolutional Neural Network For Real-Time Speech Enhancement In The Time Domain | 1 | 0.34 | 2019 |
| Supervised Speech Separation Based on Deep Learning: An Overview. | 90 | 3.13 | 2018 |
| Promoting Further Developments of Neural Networks. | 1 | 0.53 | 2017 |
| Time-Frequency Masking in the Complex Domain for Speech Dereverberation and Denoising. | 24 | 0.93 | 2017 |
| Complex Ratio Masking for Monaural Speech Separation | 60 | 2.00 | 2016 |
| A Joint Training Framework for Robust Automatic Speech Recognition. | 12 | 0.59 | 2016 |
| Long Short-Term Memory for Speaker Generalization in Supervised Speech Separation. | 26 | 1.13 | 2016 |
| Speaker-dependent multipitch tracking using deep neural networks. | 1 | 0.36 | 2015 |
| Factorization-Based Texture Segmentation | 17 | 0.65 | 2015 |
| A Deep Neural Network For Time-Domain Signal Reconstruction | 12 | 0.69 | 2015 |
| Noise Perturbation Improves Supervised Speech Separation | 4 | 0.44 | 2015 |
| Remote Sensing Image Segmentation by Combining Spectral and Texture Features | 24 | 0.99 | 2014 |
| Learning spectral mapping for speech dereverberation | 30 | 0.93 | 2014 |
| Neural network based pitch tracking in very noisy speech | 18 | 0.90 | 2014 |
| Joint noise adaptive training for robust automatic speech recognition | 33 | 1.40 | 2014 |
| Neural networks for supervised pitch tracking in noise | 5 | 0.45 | 2014 |
| Binaural deep neural network classification for reverberant speech segregation. | 1 | 0.40 | 2014 |
| A feature study for classification-based speech separation at low signal-to-noise ratios | 34 | 1.62 | 2014 |
| A two-stage approach for improving the perceptual quality of separated speech | 6 | 0.44 | 2014 |
| Special issue on advanced theory and methodology in intelligent computing: Selected papers from the Seventh International Conference on Intelligent Computing (ICIC 2011). | 0 | 0.34 | 2013 |
| Binaural Detection, Localization, and Segregation in Reverberant Environments Based on Joint Pitch and Azimuth Cues | 12 | 0.60 | 2013 |
| Towards Generalizing Classification Based Speech Separation | 9 | 0.55 | 2013 |
| Coupling binary masking and robust ASR | 3 | 0.42 | 2013 |
| Keynote addresses: From auditory masking to binary classification: Machine learning for speech separation | 0 | 0.34 | 2013 |
| A sparse representation approach for perceptual quality improvement of separated speech | 1 | 0.39 | 2013 |
| Feature denoising for speech separation in unknown noisy environments | 6 | 0.57 | 2013 |
| Analyzing Noise Robustness Of Mfcc And Gfcc Features In Speaker Identification | 22 | 1.08 | 2013 |
| An iterative model-based approach to cochannel speech separation. | 9 | 0.49 | 2013 |
| Expedited review process. | 0 | 0.34 | 2012 |
| Binaural speech segregation based on pitch and azimuth tracking | 1 | 0.35 | 2012 |
| SVM-based separation of unvoiced-voiced speech in cochannel conditions | 0 | 0.34 | 2012 |
