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Bruno Defraene
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2020 – today
- 2024
- [j5]Luan Vinícius Fiorio, Boris Karanov, Bruno Defraene, Johan David, Frans Widdershoven, Wim J. van Houtum, Ronald M. Aarts:
Spectral Masking With Explicit Time-Context Windowing for Neural Network-Based Monaural Speech Enhancement. IEEE Access 12: 154843-154852 (2024) - [i1]Luan Vinícius Fiorio, Boris Karanov, Bruno Defraene, Johan David, Wim J. van Houtum, Frans Widdershoven, Ronald M. Aarts:
Spectral Masking with Explicit Time-Context Windowing for Neural Network-Based Monaural Speech Enhancement. CoRR abs/2408.15582 (2024) - 2023
- [c10]Marvin Sach, Jan Franzen, Bruno Defraene, Kristoff Fluyt, Maximilian Strake, Wouter Tirry, Tim Fingscheidt:
EffCRN: An Efficient Convolutional Recurrent Network for High-Performance Speech Enhancement. INTERSPEECH 2023: 2508-2512 - 2020
- [j4]Maximilian Strake, Bruno Defraene, Kristoff Fluyt, Wouter Tirry, Tim Fingscheidt:
Speech enhancement by LSTM-based noise suppression followed by CNN-based speech restoration. EURASIP J. Adv. Signal Process. 2020(1): 49 (2020) - [c9]Maximilian Strake, Bruno Defraene, Kristoff Fluyt, Wouter Tirry, Tim Fingscheidt:
Fully Convolutional Recurrent Networks for Speech Enhancement. ICASSP 2020: 6674-6678 - [c8]Maximilian Strake, Bruno Defraene, Kristoff Fluyt, Wouter Tirry, Tim Fingscheidt:
INTERSPEECH 2020 Deep Noise Suppression Challenge: A Fully Convolutional Recurrent Network (FCRN) for Joint Dereverberation and Denoising. INTERSPEECH 2020: 2467-2471
2010 – 2019
- 2019
- [c7]Maximilian Strake, Bruno Defraene, Kristoff Fluyt, Wouter Tirry, Tim Fingscheidt:
Separated Noise Suppression and Speech Restoration: Lstm-Based Speech Enhancement in Two Stages. WASPAA 2019: 239-243 - 2014
- [j3]Bruno Defraene, Toon van Waterschoot, Moritz Diehl, Marc Moonen:
Embedded-Optimization-Based Loudspeaker Precompensation Using a Hammerstein Loudspeaker Model. IEEE ACM Trans. Audio Speech Lang. Process. 22(11): 1648-1659 (2014) - 2013
- [j2]Bruno Defraene, Naim Mansour, Steven De Hertogh, Toon van Waterschoot, Moritz Diehl, Marc Moonen:
Declipping of Audio Signals Using Perceptual Compressed Sensing. IEEE ACM Trans. Audio Speech Lang. Process. 21(12): 2627-2637 (2013) - [c6]Bruno Defraene, Toon van Waterschoot, Moritz Diehl, Marc Moonen:
Embedded-optimization-based loudspeaker compensation using a generic Hammerstein loudspeaker model. EUSIPCO 2013: 1-5 - [c5]Toon van Waterschoot, Bruno Defraene, Moritz Diehl, Marc Moonen:
Embedded optimization algorithms for multi-microphone dereverberation. EUSIPCO 2013: 1-5 - 2012
- [j1]Bruno Defraene, Toon van Waterschoot, Hans Joachim Ferreau, Moritz Diehl, Marc Moonen:
Real-Time Perception-Based Clipping of Audio Signals Using Convex Optimization. IEEE Trans. Speech Audio Process. 20(10): 2657-2671 (2012) - [c4]Bruno Defraene, Toon van Waterschoot, Moritz Diehl, Marc Moonen:
Perception-based nonlinear loudspeaker compensation through embedded convex optimization. EUSIPCO 2012: 2472-2476 - [c3]Bruno Defraene, Kim Ngo, Toon van Waterschoot, Moritz Diehl, Marc Moonen:
A psychoacoustically motivated speech distortion weighted multi-channel wiener filter for noise reduction. ICASSP 2012: 4637-4640 - 2011
- [c2]Bruno Defraene, Toon van Waterschoot, Moritz Diehl, Marc Moonen:
A fast projected gradient optimization method for real-time perception-based clipping of audio signals. ICASSP 2011: 333-336 - 2010
- [c1]Bruno Defraene, Toon van Waterschoot, Hans Joachim Ferreau, Moritz Diehl, Marc Moonen:
Perception-based clipping of audio signals. EUSIPCO 2010: 517-521
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last updated on 2024-11-08 21:27 CET by the dblp team
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