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Semi-supervised multichannel speech enhancement with variational
  autoencoders and non-negative matrix factorization
v1v2v3 (latest)

Semi-supervised multichannel speech enhancement with variational autoencoders and non-negative matrix factorization

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2018
16 November 2018
Simon Leglaive
Laurent Girin
Radu Horaud
    BDL
ArXiv (abs)PDFHTML

Papers citing "Semi-supervised multichannel speech enhancement with variational autoencoders and non-negative matrix factorization"

27 / 27 papers shown
A Unified Probabilistic Framework for Dictionary Learning with Parsimonious Activation
A Unified Probabilistic Framework for Dictionary Learning with Parsimonious Activation
Zihui Zhao
Yuanbo Tang
Jieyu Ren
Xiaoping Zhang
Yang Li
136
1
0
30 Sep 2025
Neural Fast Full-Rank Spatial Covariance Analysis for Blind Source
  Separation
Neural Fast Full-Rank Spatial Covariance Analysis for Blind Source SeparationEuropean Signal Processing Conference (EUSIPCO), 2023
Yoshiaki Bando
Yoshiki Masuyama
Aditya Arie Nugraha
Kazuyoshi Yoshii
BDL
169
8
0
17 Jun 2023
Unsupervised speech enhancement with deep dynamical generative speech
  and noise models
Unsupervised speech enhancement with deep dynamical generative speech and noise modelsInterspeech (Interspeech), 2023
Xiaoyu Lin
Simon Leglaive
Laurent Girin
Xavier Alameda-Pineda
211
4
0
13 Jun 2023
SE-Bridge: Speech Enhancement with Consistent Brownian Bridge
SE-Bridge: Speech Enhancement with Consistent Brownian Bridge
Zhibin Qiu
Mengfan Fu
Gang Hua
G. Altenbek
Hao Huang
DiffM
233
8
0
23 May 2023
Partially Adaptive Multichannel Joint Reduction of Ego-noise and
  Environmental Noise
Partially Adaptive Multichannel Joint Reduction of Ego-noise and Environmental NoiseIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Hu Fang
Niklas Wittmer
Johannes Twiefel
S. Wermter
Timo Gerkmann
109
3
0
27 Mar 2023
A Two-Stage Deep Representation Learning-Based Speech Enhancement Method
  Using Variational Autoencoder and Adversarial Training
A Two-Stage Deep Representation Learning-Based Speech Enhancement Method Using Variational Autoencoder and Adversarial TrainingIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2022
Yang Xiang
Jesper Lisby Højvang
M. Rasmussen
M. G. Christensen
DRL
220
7
0
16 Nov 2022
SRTNet: Time Domain Speech Enhancement Via Stochastic Refinement
SRTNet: Time Domain Speech Enhancement Via Stochastic RefinementIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Zhibin Qiu
Mengfan Fu
Yinfeng Yu
Lili Yin
Gang Hua
Hao-Ming Huang
DiffM
329
22
0
30 Oct 2022
A deep representation learning speech enhancement method using
  $β$-VAE
A deep representation learning speech enhancement method using βββ-VAEEuropean Signal Processing Conference (EUSIPCO), 2022
Yang Xiang
Jesper Lisby Højvang
M. Rasmussen
M. G. Christensen
DRL
172
4
0
11 May 2022
Learning and controlling the source-filter representation of speech with
  a variational autoencoder
Learning and controlling the source-filter representation of speech with a variational autoencoderSpeech Communication (Speech Commun.), 2022
Samir Sadok
Simon Leglaive
Laurent Girin
Xavier Alameda-Pineda
Renaud Séguier
SSLDRLBDL
427
15
0
14 Apr 2022
A Bayesian Permutation training deep representation learning method for
  speech enhancement with variational autoencoder
A Bayesian Permutation training deep representation learning method for speech enhancement with variational autoencoderIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Yang Xiang
Jesper Lisby Højvang
M. Rasmussen
M. G. Christensen
BDLDRL
179
8
0
24 Jan 2022
Unsupervised Music Source Separation Using Differentiable Parametric
  Source Models
Unsupervised Music Source Separation Using Differentiable Parametric Source ModelsIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2022
Kilian Schulze-Forster
G. Richard
Liam Kelley
Clement S. J. Doire
Roland Badeau
346
34
0
24 Jan 2022
FastMVAE2: On improving and accelerating the fast variational
  autoencoder-based source separation algorithm for determined mixtures
FastMVAE2: On improving and accelerating the fast variational autoencoder-based source separation algorithm for determined mixtures
Li Li
Hirokazu Kameoka
S. Makino
DRL
317
11
0
28 Sep 2021
A Survey of Sound Source Localization with Deep Learning Methods
A Survey of Sound Source Localization with Deep Learning MethodsJournal of the Acoustical Society of America (JASA), 2021
Pierre-Amaury Grumiaux
Srdjan Kitić
Laurent Girin
Alexandre Guérin
382
340
0
08 Sep 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
343
64
0
23 Jun 2021
A Benchmark of Dynamical Variational Autoencoders applied to Speech
  Spectrogram Modeling
A Benchmark of Dynamical Variational Autoencoders applied to Speech Spectrogram ModelingInterspeech (Interspeech), 2021
Xiaoyu Bie
Laurent Girin
Simon Leglaive
Thomas Hueber
Xavier Alameda-Pineda
286
12
0
11 Jun 2021
Learning robust speech representation with an articulatory-regularized
  variational autoencoder
Learning robust speech representation with an articulatory-regularized variational autoencoderInterspeech (Interspeech), 2021
Marc-Antoine Georges
Laurent Girin
J. Schwartz
Thomas Hueber
DRL
133
4
0
07 Apr 2021
Variational Autoencoder for Speech Enhancement with a Noise-Aware
  Encoder
Variational Autoencoder for Speech Enhancement with a Noise-Aware EncoderIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Hu Fang
Guillaume Carbajal
S. Wermter
Timo Gerkmann
315
75
0
17 Feb 2021
Semi-supervised source localization in reverberant environments with
  deep generative modeling
Semi-supervised source localization in reverberant environments with deep generative modelingIEEE Access (IEEE Access), 2021
Michael J. Bianco
Sharon Gannot
Efren Fernandez-Grande
Peter Gerstoft
275
29
0
26 Jan 2021
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
655
288
0
28 Aug 2020
Joint NN-Supported Multichannel Reduction of Acoustic Echo,
  Reverberation and Noise
Joint NN-Supported Multichannel Reduction of Acoustic Echo, Reverberation and Noise
Guillaume Carbajal
Romain Serizel
Emmanuel Vincent
E. Humbert
239
5
0
20 Nov 2019
Robust Unsupervised Audio-visual Speech Enhancement Using a Mixture of
  Variational Autoencoders
Robust Unsupervised Audio-visual Speech Enhancement Using a Mixture of Variational AutoencodersIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
M. Sadeghi
Xavier Alameda-Pineda
205
21
0
10 Nov 2019
A Recurrent Variational Autoencoder for Speech Enhancement
A Recurrent Variational Autoencoder for Speech EnhancementIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Simon Leglaive
Xavier Alameda-Pineda
Laurent Girin
Radu Horaud
DRL
356
91
0
24 Oct 2019
Audio-visual Speech Enhancement Using Conditional Variational
  Auto-Encoders
Audio-visual Speech Enhancement Using Conditional Variational Auto-EncodersIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2019
M. Sadeghi
Simon Leglaive
Xavier Alameda-Pineda
Laurent Girin
Radu Horaud
DiffM
451
82
0
07 Aug 2019
A Statistically Principled and Computationally Efficient Approach to
  Speech Enhancement using Variational Autoencoders
A Statistically Principled and Computationally Efficient Approach to Speech Enhancement using Variational AutoencodersInterspeech (Interspeech), 2019
Manuel Pariente
Antoine Deleforge
Emmanuel Vincent
199
21
0
03 May 2019
Fast Multichannel Source Separation Based on Jointly Diagonalizable
  Spatial Covariance Matrices
Fast Multichannel Source Separation Based on Jointly Diagonalizable Spatial Covariance Matrices
Kouhei Sekiguchi
A. Nugraha
Yoshiaki Bando
Kazuyoshi Yoshii
75
42
0
08 Mar 2019
Speech enhancement with variational autoencoders and alpha-stable
  distributions
Speech enhancement with variational autoencoders and alpha-stable distributionsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Simon Leglaive
Umut Simsekli
Antoine Liutkus
Laurent Girin
Radu Horaud
DRL
154
36
0
08 Feb 2019
Generalized Multichannel Variational Autoencoder for Underdetermined
  Source Separation
Generalized Multichannel Variational Autoencoder for Underdetermined Source Separation
Shogo Seki
Hirokazu Kameoka
Li Li
Tomoki Toda
K. Takeda
DRL
112
20
0
29 Sep 2018
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