| Wham!: Extending speech separation to noisy environments G Wichern, J Antognini, M Flynn, LR Zhu, E McQuinn, D Crow, E Manilow, ... arXiv preprint arXiv:1907.01160, 2019 | 343 | 2019 |
| WHAMR!: Noisy and reverberant single-channel speech separation M Maciejewski, G Wichern, E McQuinn, J Le Roux ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 181 | 2020 |
| End-to-end audio visual scene-aware dialog using multimodal attention-based video features C Hori, H Alamri, J Wang, G Wichern, T Hori, A Cherian, TK Marks, ... ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 142 | 2019 |
| Cutting music source separation some Slakh: A dataset to study the impact of training data quality and quantity E Manilow, G Wichern, P Seetharaman, J Le Roux 2019 IEEE Workshop on Applications of Signal Processing to Audio and …, 2019 | 130 | 2019 |
| Cold diffusion for speech enhancement H Yen, FG Germain, G Wichern, J Le Roux ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 101* | 2023 |
| Segmentation, indexing, and retrieval for environmental and natural sounds G Wichern, J Xue, H Thornburg, B Mechtley, A Spanias IEEE Transactions on Audio, Speech, and Language Processing 18 (3), 688-707, 2010 | 97 | 2010 |
| On the compensation between magnitude and phase in speech separation ZQ Wang, G Wichern, J Le Roux IEEE Signal Processing Letters 28, 2018-2022, 2021 | 86 | 2021 |
| Phasebook and friends: Leveraging discrete representations for source separation J Le Roux, G Wichern, S Watanabe, A Sarroff, JR Hershey IEEE Journal of Selected Topics in Signal Processing 13 (2), 370-382, 2019 | 86 | 2019 |
| Class-conditional embeddings for music source separation P Seetharaman, G Wichern, S Venkataramani, J Le Roux ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 51 | 2019 |
| Autoclip: Adaptive gradient clipping for source separation networks P Seetharaman, G Wichern, B Pardo, J Le Roux 2020 IEEE 30th International Workshop on Machine Learning for Signal …, 2020 | 43 | 2020 |
| Finding strength in weakness: Learning to separate sounds with weak supervision F Pishdadian, G Wichern, J Le Roux IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 2386-2399, 2020 | 41 | 2020 |
| Bootstrapping single-channel source separation via unsupervised spatial clustering on stereo mixtures P Seetharaman, G Wichern, J Le Roux, B Pardo ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 41 | 2019 |
| STFT-domain neural speech enhancement with very low algorithmic latency ZQ Wang, G Wichern, S Watanabe, J Le Roux IEEE/ACM Transactions on Audio, Speech, and Language Processing 31, 397-410, 2022 | 39 | 2022 |
| Phase reconstruction with learned time-frequency representations for single-channel speech separation G Wichern, J Le Roux 2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC …, 2018 | 33 | 2018 |
| Convolutive prediction for monaural speech dereverberation and noisy-reverberant speaker separation ZQ Wang, G Wichern, J Le Roux IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 3476-3490, 2021 | 31 | 2021 |
| Calibrating building simulation models using multi-source datasets and meta-learned Bayesian optimization S Zhan, G Wichern, C Laughman, A Chong, A Chakrabarty Energy and Buildings 270, 112278, 2022 | 30 | 2022 |
| The cocktail fork problem: Three-stem audio separation for real-world soundtracks D Petermann, G Wichern, ZQ Wang, J Le Roux ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 30 | 2022 |
| Fast query by example of environmental sounds via robust and efficient cluster-based indexing J Xue, G Wichern, H Thornburg, A Spanias 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 29 | 2008 |
| Hierarchical Musical Instrument Separation. E Manilow, G Wichern, J Le Roux ISMIR, 376-383, 2020 | 27 | 2020 |
| Multimodal attention for fusion of audio and spatiotemporal features for video description C Hori, T Hori, G Wichern, J Wang, TY Lee, A Cherian, TK Marks Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 27 | 2018 |
