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Guillaume Carbajal
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2020 – today
- 2022
- [c8]Navin Raj Prabhu, Guillaume Carbajal, Nale Lehmann-Willenbrock, Timo Gerkmann:
End-To-End Label Uncertainty Modeling for Speech-based Arousal Recognition Using Bayesian Neural Networks. INTERSPEECH 2022: 151-155 - 2021
- [c7]Huajian Fang, Guillaume Carbajal, Stefan Wermter, Timo Gerkmann:
Joint Reduction of Ego-noise and Environmental Noise with a Partially-adaptive Dictionary. ITG Conference on Speech Communication 2021: 1-5 - [c6]Huajian Fang, Guillaume Carbajal, Stefan Wermter
, Timo Gerkmann
Variational Autoencoder for Speech Enhancement with a Noise-Aware Encoder. ICASSP 2021: 676-680 - [c5]Guillaume Carbajal, Julius Richter
Guided Variational Autoencoder for Speech Enhancement with a Supervised Classifier. ICASSP 2021: 681-685 - [c4]Danu Caus
See the Silence: Improving Visual-Only Voice Activity Detection by Optical Flow and RGB Fusion. ICVS 2021: 41-51 - [c3]Guillaume Carbajal, Julius Richter
Disentanglement Learning for Variational Autoencoders Applied to Audio-Visual Speech Enhancement. WASPAA 2021: 126-130 - [i5]Guillaume Carbajal, Julius Richter, Timo Gerkmann:
Guided Variational Autoencoder for Speech Enhancement With a Supervised Classifier. CoRR abs/2102.06454 (2021) - [i4]Huajian Fang, Guillaume Carbajal, Stefan Wermter
Variational Autoencoder for Speech Enhancement with a Noise-Aware Encoder. CoRR abs/2102.08706 (2021) - [i3]Guillaume Carbajal, Julius Richter, Timo Gerkmann:
Disentanglement Learning for Variational Autoencoders Applied to Audio-Visual Speech Enhancement. CoRR abs/2105.08970 (2021) - [i2]Navin Raj Prabhu, Guillaume Carbajal, Nale Lehmann-Willenbrock, Timo Gerkmann:
End-to-end label uncertainty modeling for speech emotion recognition using Bayesian neural networks. CoRR abs/2110.03299 (2021) - 2020
- [b1]Guillaume Carbajal:
Apprentissage profond bout-en-bout pour le rehaussement de la parole. (End-to-end deep learning for speech enhancement). University of Lorraine, Nancy, France, 2020 - [j1]Guillaume Carbajal
Joint NN-Supported Multichannel Reduction of Acoustic Echo, Reverberation and Noise. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2158-2173 (2020) - [c2]Julius Richter
Speech Enhancement with Stochastic Temporal Convolutional Networks. INTERSPEECH 2020: 4516-4520
2010 – 2019
- 2019
- [i1]Guillaume Carbajal, Romain Serizel, Emmanuel Vincent, Eric Humbert:
Joint DNN-Based Multichannel Reduction of Acoustic Echo, Reverberation and Noise. CoRR abs/1911.08934 (2019) - 2018
- [c1]Guillaume Carbajal, Romain Serizel, Emmanuel Vincent, Eric Humbert:
Multiple-Input Neural Network-Based Residual Echo Suppression. ICASSP 2018: 231-235
Coauthor Index
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