A Statistically Principled and Computationally Efficient Approach to
Speech Enhancement using Variational Autoencoders

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A Statistically Principled and Computationally Efficient Approach to Speech Enhancement using Variational Autoencoders

3 May 2019

Manuel Pariente

Antoine Deleforge

Emmanuel Vincent

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Papers citing "A Statistically Principled and Computationally Efficient Approach to Speech Enhancement using Variational Autoencoders"

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Title
Unsupervised Speech Enhancement using Dynamical Variational Auto-Encoders Xiaoyu Bie Simon Leglaive Xavier Alameda-Pineda Laurent Girin DiffM 101 55 0 23 Jun 2021
A Flow-Based Neural Network for Time Domain Speech Enhancement Martin Strauss B. Edler 63 33 0 16 Jun 2021
Dynamical Variational Autoencoders: A Comprehensive Review Laurent Girin Simon Leglaive Xiaoyu Bie Julien Diard Thomas Hueber Xavier Alameda-Pineda BDL 141 222 0 28 Aug 2020
Mixture of Inference Networks for VAE-based Audio-visual Speech Enhancement M. Sadeghi Xavier Alameda-Pineda 79 21 0 23 Dec 2019
A Recurrent Variational Autoencoder for Speech Enhancement Simon Leglaive Xavier Alameda-Pineda Laurent Girin Radu Horaud DRL 140 79 0 24 Oct 2019
Audio-visual Speech Enhancement Using Conditional Variational Auto-Encoders M. Sadeghi Simon Leglaive Xavier Alameda-Pineda Laurent Girin Radu Horaud DiffM 96 66 0 07 Aug 2019