| Linear versus deep learning methods for noisy speech separation for EEG-informed attention decoding N Das, J Zegers, H Van hamme, T Francart, A Bertrand Journal of Neural Engineering 17 (4), 046039, 2020 | 32 | 2020 |
| Active speaker detection with audio-visual co-training P Chakravarty, J Zegers, T Tuytelaars, H Van hamme Proceedings of the 18th ACM International Conference on Multimodal …, 2016 | 19 | 2016 |
| Van hamme, H.: Active speaker detection with audio-visual co-training P Chakravarty, J Zegers, T Tuytelaars Proceedings of the 18th ACM International Conference on Multimodal …, 2016 | 16 | 2016 |
| EEG-informed speaker extraction from noisy recordings in neuro-steered hearing aids: linear versus deep learning methods N Das, J Zegers, H Van hamme, T Francart, A Bertrand BioRxiv, 2020 | 13 | 2020 |
| The cametron lecture recording system: High quality video recording and editing with minimal human supervision D Hulens, B Aerts, P Chakravarty, A Diba, T Goedemé, T Roussel, ... MultiMedia Modeling: 24th International Conference, MMM 2018, Bangkok …, 2018 | 11 | 2018 |
| Practical Applicability of Deep Neural Networks for Overlapping Speaker Separation P Appeltans, J Zegers, H Van hamme Interspeech 2019, 1353-1357, 2019 | 9 | 2019 |
| CNN-LSTM models for multi-speaker source separation using Bayesian hyper parameter optimization J Zegers, H Van hamme Interspeech 2019, 4589-4593, 2019 | 9 | 2019 |
| Recommender systems for Personalized Work Instructions J Zegers, V Zogopoulos, D Verhees 32nd CIRP Design Conference (CIRP Design 2022) - Design in a changing world …, 2022 | 7 | 2022 |
| Joint Sound Source Separation and Speaker Recognition J Zegers, H Van hamme Interspeech 2016, 2228-2232, 2016 | 7 | 2016 |
| Improving source separation via multi-speaker representations J Zegers, H Van hamme Interspeech 2017, 1919-1923, 2017 | 6 | 2017 |
| Memory Time Span in LSTMs for Multi-Speaker Source Separation J Zegers, H Van hamme Interspeech 2018, 1477-1481, 2018 | 5 | 2018 |
| Active learning in sound-based bearing fault detection M Meire, J Zegers, P Karsmakers Proceedings of the 8th Detection and Classification of Acoustic Scenes and …, 2023 | 3 | 2023 |
| Multi-scenario deep learning for multi-speaker source separation J Zegers, H Van hamme ICASSP 2018, 1919-1923, 2018 | 3 | 2018 |
| Acoustic Monitoring of Rolling Element Bearings using a Sparse Microphone Array X Wu, J Zegers, H Denayer, K Gryllias Proceedings of SURVISHNO 2023, 2023 | 1 | 2023 |
| Noise-aware AI methods for robust acoustic monitoring of bearings in industrial machines K Eryilmaz, F de la Hucha Arce, J Zegers, T Ooijevaar PHM Society European Conference 8 (1), 10-10, 2024 | | 2024 |
| Analysis of memory in LSTM-RNNs for source separation J Zegers arXiv preprint arXiv:2009.00551, 2020 | | 2020 |
| Joint Speaker Segregation and Recognition J Zegers | | 2020 |
| Multi-microphone speaker separation for neuro-steered hearing aids: neural networks versus linear methods N Das, J Zegers, T Francart, A Bertrand Auditory EEG Signal Processing Symposium (AESoP), Date: 2019/09/16-2019/09 …, 2019 | | 2019 |
Punarjay Chakravarty, PhD.PlanetEmail verificata su planet.com
