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A Recurrent Variational Autoencoder for Speech Enhancement
v1v2 (latest)

A Recurrent Variational Autoencoder for Speech Enhancement

24 October 2019
Simon Leglaive
Xavier Alameda-Pineda
Laurent Girin
Radu Horaud
    DRL
ArXiv (abs)PDFHTML

Papers citing "A Recurrent Variational Autoencoder for Speech Enhancement"

15 / 15 papers shown
Title
Exploiting the capacity of deep networks only at training stage for
  nonlinear black-box system identification
Exploiting the capacity of deep networks only at training stage for nonlinear black-box system identification
V. M. Eivaghi
M. A. Shoorehdeli
71
0
0
26 Dec 2023
Mixture of Dynamical Variational Autoencoders for Multi-Source
  Trajectory Modeling and Separation
Mixture of Dynamical Variational Autoencoders for Multi-Source Trajectory Modeling and Separation
Xiaoyu Lin
Laurent Girin
Xavier Alameda-Pineda
61
2
0
07 Dec 2023
Diffusion-based speech enhancement with a weighted generative-supervised
  learning loss
Diffusion-based speech enhancement with a weighted generative-supervised learning loss
Jean-Eudes Ayilo
Mostafa Sadeghi
Romain Serizel
DiffM
72
10
0
19 Sep 2023
Deep neural network techniques for monaural speech enhancement: state of
  the art analysis
Deep neural network techniques for monaural speech enhancement: state of the art analysis
P. Ochieng
119
23
0
01 Dec 2022
A weighted-variance variational autoencoder model for speech enhancement
A weighted-variance variational autoencoder model for speech enhancement
A. Golmakani
M. Sadeghi
Xavier Alameda-Pineda
Romain Serizel
82
1
0
02 Nov 2022
SRTNet: Time Domain Speech Enhancement Via Stochastic Refinement
SRTNet: Time Domain Speech Enhancement Via Stochastic Refinement
Zhibin Qiu
Mengfan Fu
Yinfeng Yu
Lili Yin
Gang Hua
Hao-Ming Huang
DiffM
145
19
0
30 Oct 2022
Improved Normalizing Flow-Based Speech Enhancement using an All-pole
  Gammatone Filterbank for Conditional Input Representation
Improved Normalizing Flow-Based Speech Enhancement using an All-pole Gammatone Filterbank for Conditional Input Representation
Martin Strauss
Matteo Torcoli
B. Edler
44
5
0
21 Oct 2022
Conditional Diffusion Probabilistic Model for Speech Enhancement
Conditional Diffusion Probabilistic Model for Speech Enhancement
Yen-Ju Lu
Zhongqiu Wang
Shinji Watanabe
Alexander Richard
Cheng Yu
Yu Tsao
DiffM
81
191
0
10 Feb 2022
U-shaped Transformer with Frequency-Band Aware Attention for Speech
  Enhancement
U-shaped Transformer with Frequency-Band Aware Attention for Speech Enhancement
Yi Li
Yang Sun
S. M. Naqvi
60
29
0
11 Dec 2021
Unsupervised Speech Enhancement using Dynamical Variational
  Auto-Encoders
Unsupervised Speech Enhancement using Dynamical Variational Auto-Encoders
Xiaoyu Bie
Simon Leglaive
Xavier Alameda-Pineda
Laurent Girin
DiffM
103
55
0
23 Jun 2021
A Flow-Based Neural Network for Time Domain Speech Enhancement
A Flow-Based Neural Network for Time Domain Speech Enhancement
Martin Strauss
B. Edler
63
33
0
16 Jun 2021
A Benchmark of Dynamical Variational Autoencoders applied to Speech
  Spectrogram Modeling
A Benchmark of Dynamical Variational Autoencoders applied to Speech Spectrogram Modeling
Xiaoyu Bie
Laurent Girin
Simon Leglaive
Thomas Hueber
Xavier Alameda-Pineda
55
12
0
11 Jun 2021
Learning Robust Latent Representations for Controllable Speech Synthesis
Learning Robust Latent Representations for Controllable Speech Synthesis
Shakti Kumar
Jithin Pradeep
Hussain Zaidi
DRL
68
6
0
10 May 2021
Can We Trust Deep Speech Prior?
Can We Trust Deep Speech Prior?
Ying Shi
Haolin Chen
Zhiyuan Tang
Lantian Li
Dong Wang
Jiqing Han
58
1
0
04 Nov 2020
Dynamical Variational Autoencoders: A Comprehensive Review
Dynamical Variational Autoencoders: A Comprehensive Review
Laurent Girin
Simon Leglaive
Xiaoyu Bie
Julien Diard
Thomas Hueber
Xavier Alameda-Pineda
BDL
143
222
0
28 Aug 2020
1