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Bruno Defraene
Bruno Defraene
R&D Engineer at NXP Semiconductors
Verified email at nxp.com
Title
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Cited by
Year
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
742013
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
542020
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
322019
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
312020
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
252012
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
222020
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
15*2014
Signal processor for signal enhancement and associated methods
BGPG Defraene, N Madhu, WJ Tirry
US Patent 11,315,587, 2022
112022
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
112014
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
82013
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
62012
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
62011
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
42016
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
42012
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
32015
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
32010
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
12023
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
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