| Declipping of audio signals using perceptual compressed sensing B Defraene, N Mansour, S De Hertogh, T Van Waterschoot, M Diehl, ... IEEE Transactions on Audio, Speech, and Language Processing 21 (12), 2627-2637, 2013 | 75 | 2013 |
| Fully convolutional recurrent networks for speech enhancement M Strake, B Defraene, K Fluyt, W Tirry, T Fingscheidt ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 47 | 2020 |
| Separated noise suppression and speech restoration: LSTM-based speech enhancement in two stages M Strake, B Defraene, K Fluyt, W Tirry, T Fingscheidt 2019 IEEE Workshop on Applications of Signal Processing to Audio and …, 2019 | 30 | 2019 |
| Speech enhancement by LSTM-based noise suppression followed by CNN-based speech restoration M Strake, B Defraene, K Fluyt, W Tirry, T Fingscheidt EURASIP Journal on Advances in Signal Processing 2020, 1-26, 2020 | 25 | 2020 |
| Real-time perception-based clipping of audio signals using convex optimization B Defraene, T van Waterschoot, HJ Ferreau, M Diehl, M Moonen IEEE transactions on audio, speech, and language processing 20 (10), 2657-2671, 2012 | 25 | 2012 |
| INTERSPEECH 2020 Deep Noise Suppression Challenge: A Fully Convolutional Recurrent Network (FCRN) for Joint Dereverberation and Denoising. M Strake, B Defraene, K Fluyt, W Tirry, T Fingscheidt INTERSPEECH, 2467-2471, 2020 | 21 | 2020 |
| Embedded-optimization-based loudspeaker precompensation using a Hammerstein loudspeaker model B Defraene, T Van Waterschoot, M Diehl, M Moonen IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (11 …, 2014 | 14* | 2014 |
| Embedded-optimization-based loudspeaker precompensation using a Hammerstein loudspeaker model B Defraene, T Van Waterschoot, M Diehl, M Moonen IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (11 …, 2014 | 11 | 2014 |
| Embedded optimization algorithms for multi-microphone dereverberation T van Waterschoot, B Defraene, M Diehl, M Moonen 21st European Signal Processing Conference (EUSIPCO 2013), 1-5, 2013 | 8 | 2013 |
| A psychoacoustically motivated speech distortion weighted multi-channel Wiener filter for noise reduction B Defraene, K Ngo, T van Waterschoot, M Diehl, M Moonen 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 6 | 2012 |
| A fast projected gradient optimization method for real-time perception-based clipping of audio signals B Defraene, T van Waterschoot, M Diehl, M Moonen 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011 | 6 | 2011 |
| Subjective audio quality evaluation of embedded-optimization-based distortion precompensation algorithms B Defraene, T van Waterschoot, M Diehl, M Moonen The Journal of the Acoustical Society of America 140 (1), EL101-EL106, 2016 | 4 | 2016 |
| Perception-based nonlinear loudspeaker compensation through embedded convex optimization B Defraene, T van Waterschoot, M Diehl, M Moonen 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO …, 2012 | 4 | 2012 |
| Perception-based clipping of audio signals B Defraene, T van Waterschoot, HJ Ferreau, M Diehl, M Moonen 2010 18th European Signal Processing Conference, 517-521, 2010 | 3 | 2010 |
| ONELAB: Bringing Open-Source Simulation Tools to Industry Design and Education C Geuzaine, F Henrotte, JF Remacle, R Sabariego 20th Conference on the Computation of Electromagnetic Fields (COMPUMAG 2015 …, 2015 | 2 | 2015 |
| EffCRN: An Efficient Convolutional Recurrent Network for High-Performance Speech Enhancement M Sach, J Franzen, B Defraene, K Fluyt, M Strake, W Tirry, T Fingscheidt arXiv preprint arXiv:2306.02778, 2023 | | 2023 |
| Signal processor for signal enhancement and associated methods BGPG Defraene, N Madhu, WJ Tirry US Patent 11,315,587, 2022 | | 2022 |
| Signal processor BGPG Defraene, C Guillaumé, WJ Tirry US Patent 10,356,515, 2019 | | 2019 |
| Embedded Optimization Algorithms for Perceptual Enhancement of Audio Signals (Ingebedde optimalisatie-algoritmes voor de perceptuele verbetering van geluidssignalen) B Defraene | | 2013 |
Toon van WaterschootProfessor, KU LeuvenBestätigte E-Mail-Adresse bei esat.kuleuven.be
