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Guillaume Carbajal
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Cited by
Year
Variational Autoencoder for Speech Enhancement with a Noise-Aware Encoder
H Fang, G Carbajal, S Wermter, T Gerkmann
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
522021
Multiple-input neural network-based residual echo suppression
G Carbajal, R Serizel, E Vincent, E Humbert
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
472018
Speech Enhancement with Stochastic Temporal Convolutional Networks.
J Richter, G Carbajal, T Gerkmann
Interspeech, 4516-4520, 2020
282020
Guided Variational Autoencoder for Speech Enhancement with a Supervised Classifier
G Carbajal, J Richter, T Gerkmann
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
192021
Disentanglement Learning for Variational Autoencoders Applied to Audio-Visual Speech Enhancement
G Carbajal, J Richter, T Gerkmann
2021 IEEE Workshop on Applications of Signal Processing to Audio and …, 2021
162021
Joint NN-Supported Multichannel Reduction of Acoustic Echo, Reverberation and Noise
G Carbajal, R Serizel, E Vincent, E Humbert
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 2158-2173, 2020
162020
End-to-end label uncertainty modeling for speech-based arousal recognition using bayesian neural networks
NR Prabhu, G Carbajal, N Lehmann-Willenbrock, T Gerkmann
Proc. Interspeech 2022, 151-155, 2022
112022
Joint DNN-Based Multichannel Reduction of Acoustic Echo, Reverberation and Noise
G Carbajal, R Serizel, E Vincent, E Humbert
arXiv preprint arXiv:1911.08934, 2019
62019
Joint Reduction of Ego-noise and Environmental Noise with a Partially-adaptive Dictionary
H Fang, G Carbajal, S Wermter, T Gerkmann
Speech Communication; 14th ITG Conference, 1-5, 2021
22021
Joint NN-Supported Multichannel Reduction of Acoustic Echo, Reverberation and Noise: Supporting Document
G Carbajal, R Serizel, E Vincent, E Humbert
INRIA Nancy; Invoxia SAS, 2019
22019
See the Silence: Improving Visual-Only Voice Activity Detection by Optical Flow and RGB Fusion
D Caus, G Carbajal, T Gerkmann, S Frintrop
International Conference on Computer Vision Systems, 41-51, 2021
2021
Apprentissage profond bout-en-bout pour le rehaussement de la parole
G Carbajal
Université de Lorraine, 2020
2020
Joint DNN-Based Multichannel Reduction of Acoustic Echo, Reverberation and Noise: Supporting Document
G Carbajal, R Serizel, E Vincent, E Humbert
INRIA Nancy, équipe Multispeech; Invoxia SAS, 2019
2019
Procédé de suppression d'écho résiduel dans un signal acoustique
G Carbajal, R Serizel, E Vincent, E Humbert
2017
Supporting document to the paper" Joint Reduction of Ego-noise and Environmental Noise with a Partially-adaptive Dictionary
H Fang, G Carbajal, S Wermter, T Gerkmann
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Articles 1–15