Perception-based clipping of audio signals. - Bruno Defraene; Toon van Waterschoot; Hans Joachim Ferreau; Moritz Diehl; Marc Moonen (EUSIPCO, 2010)

A fast projected gradient optimization method for real-time perception-based clipping of audio signals. - Bruno Defraene; Toon van Waterschoot; Moritz Diehl; Marc Moonen (ICASSP, 2011)

Perception-based nonlinear loudspeaker compensation through embedded convex optimization. - Bruno Defraene; Toon van Waterschoot; Moritz Diehl; Marc Moonen (EUSIPCO, 2012)

A psychoacoustically motivated speech distortion weighted multi-channel wiener filter for noise reduction. - Bruno Defraene; Kim Ngo; Toon van Waterschoot; Moritz Diehl; Marc Moonen (ICASSP, 2012)

Real-Time Perception-Based Clipping of Audio Signals Using Convex Optimization. - Bruno Defraene; Toon van Waterschoot; Hans Joachim Ferreau; Moritz Diehl; Marc Moonen (IEEE Trans. Speech Audio Process., 2012)

Embedded-optimization-based loudspeaker compensation using a generic Hammerstein loudspeaker model. - Bruno Defraene; Toon van Waterschoot; Moritz Diehl; Marc Moonen (EUSIPCO, 2013)

Embedded optimization algorithms for multi-microphone dereverberation. - Toon van Waterschoot; Bruno Defraene; Moritz Diehl; Marc Moonen (EUSIPCO, 2013)

Declipping of Audio Signals Using Perceptual Compressed Sensing. - Bruno Defraene; Naim Mansour; Steven De Hertogh; Toon van Waterschoot; Moritz Diehl; Marc Moonen (IEEE ACM Trans. Audio Speech Lang. Process., 2013)

Embedded-Optimization-Based Loudspeaker Precompensation Using a Hammerstein Loudspeaker Model. - Bruno Defraene; Toon van Waterschoot; Moritz Diehl; Marc Moonen (IEEE ACM Trans. Audio Speech Lang. Process., 2014)

Separated Noise Suppression and Speech Restoration: Lstm-Based Speech Enhancement in Two Stages. - Maximilian Strake; Bruno Defraene; Kristoff Fluyt; Wouter Tirry; Tim Fingscheidt (WASPAA, 2019)

Fully Convolutional Recurrent Networks for Speech Enhancement. - Maximilian Strake; Bruno Defraene; Kristoff Fluyt; Wouter Tirry; Tim Fingscheidt (ICASSP, 2020)

INTERSPEECH 2020 Deep Noise Suppression Challenge: A Fully Convolutional Recurrent Network (FCRN) for Joint Dereverberation and Denoising. - Maximilian Strake; Bruno Defraene; Kristoff Fluyt; Wouter Tirry; Tim Fingscheidt (INTERSPEECH, 2020)

Speech enhancement by LSTM-based noise suppression followed by CNN-based speech restoration. - Maximilian Strake; Bruno Defraene; Kristoff Fluyt; Wouter Tirry; Tim Fingscheidt (EURASIP J. Adv. Signal Process., 2020)

EffCRN: An Efficient Convolutional Recurrent Network for High-Performance Speech Enhancement. - Marvin Sach; Jan Franzen; Bruno Defraene; Kristoff Fluyt; Maximilian Strake; Wouter Tirry; Tim Fingscheidt (INTERSPEECH, 2023)

Ultra-Low Memory Speech Denoising using Quantization-Aware Neural Architecture Search. - Anastasios Vafeiadis; Nick van de Waterlaat; Clement Castel; Bruno Defraene; Gerardo Daalderop; Sebastian Vogel; Christophe Macours (MLSP, 2024)

Spectral Masking With Explicit Time-Context Windowing for Neural Network-Based Monaural Speech Enhancement. - Luan Vinícius Fiorio; Boris Karanov; Bruno Defraene; Johan David; Frans Widdershoven; Wim J. van Houtum; Ronald M. Aarts (IEEE Access, 2024)