Bruno Defraene

According to our database1, Bruno Defraene authored at least 13 papers between 2010 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2020
Speech enhancement by LSTM-based noise suppression followed by CNN-based speech restoration.
EURASIP J. Adv. Signal Process., 2020

INTERSPEECH 2020 Deep Noise Suppression Challenge: A Fully Convolutional Recurrent Network (FCRN) for Joint Dereverberation and Denoising.
Proceedings of the Interspeech 2020, 2020

Fully Convolutional Recurrent Networks for Speech Enhancement.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Separated Noise Suppression and Speech Restoration: Lstm-Based Speech Enhancement in Two Stages.
Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019

2014
Embedded-Optimization-Based Loudspeaker Precompensation Using a Hammerstein Loudspeaker Model.
IEEE ACM Trans. Audio Speech Lang. Process., 2014

2013
Declipping of Audio Signals Using Perceptual Compressed Sensing.
IEEE ACM Trans. Audio Speech Lang. Process., 2013

Embedded optimization algorithms for multi-microphone dereverberation.
Proceedings of the 21st European Signal Processing Conference, 2013

Embedded-optimization-based loudspeaker compensation using a generic Hammerstein loudspeaker model.
Proceedings of the 21st European Signal Processing Conference, 2013

2012
Real-Time Perception-Based Clipping of Audio Signals Using Convex Optimization.
IEEE Trans. Speech Audio Process., 2012

A psychoacoustically motivated speech distortion weighted multi-channel wiener filter for noise reduction.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Perception-based nonlinear loudspeaker compensation through embedded convex optimization.
Proceedings of the 20th European Signal Processing Conference, 2012

2011
A fast projected gradient optimization method for real-time perception-based clipping of audio signals.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Perception-based clipping of audio signals.
Proceedings of the 18th European Signal Processing Conference, 2010


  Loading...