Multiple-Input Neural Network-Based Residual Echo Suppression. - Guillaume Carbajal; Romain Serizel; Emmanuel Vincent 001; Eric Humbert (ICASSP, 2018)

Joint DNN-Based Multichannel Reduction of Acoustic Echo, Reverberation and Noise. - Guillaume Carbajal; Romain Serizel; Emmanuel Vincent 001; Eric Humbert (CoRR, 2019)

Speech Enhancement with Stochastic Temporal Convolutional Networks. - Julius Richter; Guillaume Carbajal; Timo Gerkmann (INTERSPEECH, 2020)

Joint NN-Supported Multichannel Reduction of Acoustic Echo, Reverberation and Noise. - Guillaume Carbajal; Romain Serizel; Emmanuel Vincent 001; Eric Humbert (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Apprentissage profond bout-en-bout pour le rehaussement de la parole. (End-to-end deep learning for speech enhancement). - Guillaume Carbajal (2020)

Joint Reduction of Ego-noise and Environmental Noise with a Partially-adaptive Dictionary. - Huajian Fang; Guillaume Carbajal; Stefan Wermter; Timo Gerkmann (ITG Conference on Speech Communication, 2021)

Guided Variational Autoencoder for Speech Enhancement with a Supervised Classifier. - Guillaume Carbajal; Julius Richter; Timo Gerkmann (ICASSP, 2021)

Variational Autoencoder for Speech Enhancement with a Noise-Aware Encoder. - Huajian Fang; Guillaume Carbajal; Stefan Wermter; Timo Gerkmann (ICASSP, 2021)

See the Silence: Improving Visual-Only Voice Activity Detection by Optical Flow and RGB Fusion. - Danu Caus; Guillaume Carbajal; Timo Gerkmann; Simone Frintrop (ICVS, 2021)

Disentanglement Learning for Variational Autoencoders Applied to Audio-Visual Speech Enhancement. - Guillaume Carbajal; Julius Richter; Timo Gerkmann (WASPAA, 2021)

End-to-end label uncertainty modeling for speech emotion recognition using Bayesian neural networks. - Navin Raj Prabhu; Guillaume Carbajal; Nale Lehmann-Willenbrock; Timo Gerkmann (CoRR, 2021)

End-To-End Label Uncertainty Modeling for Speech-based Arousal Recognition Using Bayesian Neural Networks. - Navin Raj Prabhu; Guillaume Carbajal; Nale Lehmann-Willenbrock; Timo Gerkmann (INTERSPEECH, 2022)