Guillaume Carbajal

According to our database, Guillaume Carbajal authored at least 12 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

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

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

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

Disentanglement Learning for Variational Autoencoders Applied to Audio-Visual Speech Enhancement.

Guillaume Carbajal, Julius Richter, Timo Gerkmann

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2021

See the Silence: Improving Visual-Only Voice Activity Detection by Optical Flow and RGB Fusion.

Danu Caus, Guillaume Carbajal, Timo Gerkmann, Simone Frintrop

Proceedings of the Computer Vision Systems - 13th International Conference, 2021

Variational Autoencoder for Speech Enhancement with a Noise-Aware Encoder.

Huajian Fang, Guillaume Carbajal, Stefan Wermter, Timo Gerkmann

Proceedings of the IEEE International Conference on Acoustics, 2021

Guided Variational Autoencoder for Speech Enhancement with a Supervised Classifier.

Guillaume Carbajal, Julius Richter, Timo Gerkmann

Proceedings of the IEEE International Conference on Acoustics, 2021

Joint Reduction of Ego-noise and Environmental Noise with a Partially-adaptive Dictionary.

Huajian Fang, Guillaume Carbajal, Stefan Wermter, Timo Gerkmann

Proceedings of the 14th ITG Conference on Speech Communication, online, September 29, 2021

2020

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

Guillaume Carbajal

PhD thesis, 2020

Joint NN-Supported Multichannel Reduction of Acoustic Echo, Reverberation and Noise.

Guillaume Carbajal, Romain Serizel, Emmanuel Vincent, Eric Humbert

IEEE ACM Trans. Audio Speech Lang. Process., 2020

Speech Enhancement with Stochastic Temporal Convolutional Networks.

Julius Richter, Guillaume Carbajal, Timo Gerkmann

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019

Joint DNN-Based Multichannel Reduction of Acoustic Echo, Reverberation and Noise.

Guillaume Carbajal, Romain Serizel, Emmanuel Vincent, Eric Humbert

CoRR, 2019

2018

Multiple-Input Neural Network-Based Residual Echo Suppression.

Guillaume Carbajal, Romain Serizel, Emmanuel Vincent, Eric Humbert

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018