Guided Variational Autoencoder for Speech Enhancement With a Supervised
Classifier

Guided Variational Autoencoder for Speech Enhancement With a Supervised Classifier

12 February 2021

Guillaume Carbajal

Papers citing "Guided Variational Autoencoder for Speech Enhancement With a Supervised Classifier"

14 / 14 papers shown

Title
Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers Staphord Bengesi Hoda El-Sayed Md Kamruzzaman Sarker Yao Houkpati John Irungu T. Oladunni 58 77 0 17 Nov 2023
Posterior sampling algorithms for unsupervised speech enhancement with recurrent variational autoencoder Mostafa Sadeghi Romain Serizel BDL 15 0 0 19 Sep 2023
Unsupervised speech enhancement with deep dynamical generative speech and noise models Xiaoyu Lin Simon Leglaive Laurent Girin Xavier Alameda-Pineda 20 3 0 13 Jun 2023
On the Behavior of Intrusive and Non-intrusive Speech Enhancement Metrics in Predictive and Generative Settings Danilo de Oliveira Julius Richter Jean-Marie Lemercier Tal Peer Timo Gerkmann 46 5 0 05 Jun 2023
Integrating Uncertainty into Neural Network-based Speech Enhancement Hu Fang Dennis Becker S. Wermter Timo Gerkmann UQCV 34 2 0 15 May 2023
A Two-Stage Deep Representation Learning-Based Speech Enhancement Method Using Variational Autoencoder and Adversarial Training Yang Xiang Jesper Lisby Højvang M. Rasmussen M. G. Christensen DRL 25 5 0 16 Nov 2022
Fast and efficient speech enhancement with variational autoencoders M. Sadeghi Romain Serizel DRL BDL 11 2 0 02 Nov 2022
Speech Enhancement and Dereverberation with Diffusion-based Generative Models Julius Richter Simon Welker Jean-Marie Lemercier Bunlong Lay Timo Gerkmann DiffM 21 185 0 11 Aug 2022
A deep representation learning speech enhancement method using $β$ -VAE Yang Xiang Jesper Lisby Højvang M. Rasmussen M. G. Christensen DRL 27 2 0 11 May 2022
Learning and controlling the source-filter representation of speech with a variational autoencoder Samir Sadok Simon Leglaive Laurent Girin Xavier Alameda-Pineda Renaud Séguier SSL DRL BDL 37 14 0 14 Apr 2022
Integrating Statistical Uncertainty into Neural Network-Based Speech Enhancement Hu Fang Tal Peer S. Wermter Timo Gerkmann 31 6 0 04 Mar 2022
A Bayesian Permutation training deep representation learning method for speech enhancement with variational autoencoder Yang Xiang Jesper Lisby Højvang M. Rasmussen M. G. Christensen BDL DRL 24 4 0 24 Jan 2022
Unsupervised Speech Enhancement using Dynamical Variational Auto-Encoders Xiaoyu Bie Simon Leglaive Xavier Alameda-Pineda Laurent Girin DiffM 35 54 0 23 Jun 2021
Disentanglement Learning for Variational Autoencoders Applied to Audio-Visual Speech Enhancement Guillaume Carbajal Julius Richter Timo Gerkmann DRL 18 15 0 19 May 2021