| Sergan: Speech enhancement using relativistic generative adversarial networks with gradient penalty D Baby, S Verhulst ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 35 | 2019 |
| Coupled dictionaries for exemplar-based speech enhancement and automatic speech recognition D Baby, T Virtanen, JF Gemmeke IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (11 …, 2015 | 22 | 2015 |
| Exemplar-based speech enhancement for deep neural network based automatic speech recognition D Baby, J Gemmeke, T Virtanen, H Van hamme IEEE ICASSP 2015, 2015 | 21 | 2015 |
| Coupled dictionary training for exemplar-based speech enhancement D Baby, T Virtanen, T Barker, H Van hamme Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International …, 2014 | 18 | 2014 |
| Ordered Orthogonal Matching Pursuit D Baby, SRB Pillai Communications (NCC), 2012 National Conference on, 2012 | 10* | 2012 |
| Biophysically-inspired features improve the generalizability of neural network-based speech enhancement systems D Baby, S Verhulst INTERSPEECH, 2018 | 9 | 2018 |
| Supervised speech dereverberation in noisy environments using exemplar-based sparse representations D Baby, H Van hamme Accoustics, Speech and Signal Processing, 2016 IEEE International Conference on, 2016 | 9 | 2016 |
| Joint Denoising and Dereverberation Using Exemplar-Based Sparse Representations and Decaying Norm Constraint D Baby, H Van hamme IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (10 …, 2017 | 8 | 2017 |
| Investigating modulation spectrogram features for deep neural network-based automatic speech recognition D Baby, H Van hamme Proceedings Interspeech 2015, 2479-2483, 2015 | 5 | 2015 |
| Real-time audio processing on a Raspberry Pi using deep neural networks F Drakopoulos, D Baby, S Verhulst 23rd International Congress on Acoustics (ICA 2019), 2827-2834, 2019 | 4 | 2019 |
| Exemplar-based noise robust automatic speech recognition using modulation spectrogram features D Baby, T Virtanen, J Gemmeke, T Barker, H Van hamme Proceedings SLT 2014, 1-6, 2014 | 4 | 2014 |
| A convolutional neural-network model of human cochlear mechanics and filter tuning for real-time applications D Baby, AVD Broucke, S Verhulst arXiv preprint arXiv:2004.14832, 2020 | 3 | 2020 |
| isegan: Improved speech enhancement generative adversarial networks D Baby arXiv preprint arXiv:2002.08796, 2020 | 3 | 2020 |
| Machines hear better when they have ears D Baby, S Verhulst arXiv preprint arXiv:1806.01145, 2018 | 3 | 2018 |
| Coupled dictionary-based speech enhancement for CHiME-3 challenge D Baby, T Virtanen, H Van hamme | 3 | 2015 |
| Non-negative sparse representations for speech enhancement and recognition D Baby | 2 | 2016 |
| Noise robust exemplar matching for speech enhancement: Applications to automatic speech recognition E Yilmaz, D Baby, H Van hamme Proceedings Interspeech 2015, 688-692, 2015 | 2 | 2015 |
| Hearing-Impaired Bio-Inspired Cochlear Models for Real-Time Auditory Applications A Van Den Broucke, D Baby, S Verhulst Proc Interspeech 2020, 2842-2846, 2020 | 1 | 2020 |
| Noise robust exemplar matching with coupled dictionaries for single-channel speech enhancement E Yilmaz, D Baby, H Van hamme Signal Processing Conference (EUSIPCO), 2015 23rd European, 874-878, 2015 | 1 | 2015 |
| A neural-network framework for modelling auditory sensory cells and synapses F Drakopoulos, D Baby, S Verhulst bioRxiv, 2020 | | 2020 |
Sarah VerhulstAssociate ProfessorVerified email at ugent.be
