Guillaume Carbajal

15 papers A 2C 1Misc 3Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2022 A conf
End-To-End Label Uncertainty Modeling for Speech-based Arousal Recognition Using Bayesian Neural Networks.
INTERSPEECH
Navin Raj Prabhu, Guillaume Carbajal, Nale Lehmann-Willenbrock, Timo Gerkmann
2021 — conf
Disentanglement Learning for Variational Autoencoders Applied to Audio-Visual Speech Enhancement.
WASPAA
Guillaume Carbajal, Julius Richter, Timo Gerkmann
2021 J jnl
Disentanglement Learning for Variational Autoencoders Applied to Audio-Visual Speech Enhancement.
CoRR
Guillaume Carbajal, Julius Richter, Timo Gerkmann
2021 J jnl
End-to-end label uncertainty modeling for speech emotion recognition using Bayesian neural networks.
CoRR
Navin Raj Prabhu, Guillaume Carbajal, Nale Lehmann-Willenbrock, Timo Gerkmann
2021 J jnl
Guided Variational Autoencoder for Speech Enhancement With a Supervised Classifier.
CoRR
Guillaume Carbajal, Julius Richter, Timo Gerkmann
2021 Misc conf
Guided Variational Autoencoder for Speech Enhancement with a Supervised Classifier.
ICASSP
Guillaume Carbajal, Julius Richter, Timo Gerkmann
2021 — conf
Joint Reduction of Ego-noise and Environmental Noise with a Partially-adaptive Dictionary.
ITG Conference on Speech Communication
Huajian Fang, Guillaume Carbajal, Stefan Wermter, Timo Gerkmann
2021 C conf
See the Silence: Improving Visual-Only Voice Activity Detection by Optical Flow and RGB Fusion.
ICVS
Danu Caus, Guillaume Carbajal, Timo Gerkmann, Simone Frintrop
2021 Misc conf
Variational Autoencoder for Speech Enhancement with a Noise-Aware Encoder.
ICASSP
Huajian Fang, Guillaume Carbajal, Stefan Wermter, Timo Gerkmann
2021 J jnl
Variational Autoencoder for Speech Enhancement with a Noise-Aware Encoder.
CoRR
Huajian Fang, Guillaume Carbajal, Stefan Wermter, Timo Gerkmann
2020 — —
Apprentissage profond bout-en-bout pour le rehaussement de la parole. (End-to-end deep learning for speech enhancement).
Guillaume Carbajal
2020 J jnl
Joint NN-Supported Multichannel Reduction of Acoustic Echo, Reverberation and Noise.
IEEE ACM Trans. Audio Speech Lang. Process.
Guillaume Carbajal, Romain Serizel, Emmanuel Vincent, Eric Humbert
2020 A conf
Speech Enhancement with Stochastic Temporal Convolutional Networks.
INTERSPEECH
Julius Richter, Guillaume Carbajal, Timo Gerkmann
2019 J jnl
Joint DNN-Based Multichannel Reduction of Acoustic Echo, Reverberation and Noise.
CoRR
Guillaume Carbajal, Romain Serizel, Emmanuel Vincent, Eric Humbert
2018 Misc conf
Multiple-Input Neural Network-Based Residual Echo Suppression.
ICASSP
Guillaume Carbajal, Romain Serizel, Emmanuel Vincent, Eric Humbert