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A Statistically Principled and Computationally Efficient Approach to
  Speech Enhancement using Variational Autoencoders
v1v2 (latest)

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

3 May 2019
Manuel Pariente
Antoine Deleforge
Emmanuel Vincent
ArXiv (abs)PDFHTML

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

12 / 12 papers shown
Title
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
541
10,591
0
17 Feb 2020
A Deep Generative Model of Speech Complex Spectrograms
A Deep Generative Model of Speech Complex Spectrograms
Aditya Arie Nugraha
Kouhei Sekiguchi
Kazuyoshi Yoshii
47
19
0
08 Mar 2019
Speech enhancement with variational autoencoders and alpha-stable
  distributions
Speech enhancement with variational autoencoders and alpha-stable distributions
Simon Leglaive
Umut Simsekli
Antoine Liutkus
Laurent Girin
Radu Horaud
DRL
53
36
0
08 Feb 2019
A variance modeling framework based on variational autoencoders for
  speech enhancement
A variance modeling framework based on variational autoencoders for speech enhancement
Simon Leglaive
Laurent Girin
Radu Horaud
DRL
53
91
0
05 Feb 2019
Fast MVAE: Joint separation and classification of mixed sources based on
  multichannel variational autoencoder with auxiliary classifier
Fast MVAE: Joint separation and classification of mixed sources based on multichannel variational autoencoder with auxiliary classifier
Li Li
Hirokazu Kameoka
S. Makino
DRL
50
28
0
16 Dec 2018
Semi-supervised multichannel speech enhancement with variational
  autoencoders and non-negative matrix factorization
Semi-supervised multichannel speech enhancement with variational autoencoders and non-negative matrix factorization
Simon Leglaive
Laurent Girin
Radu Horaud
BDL
87
60
0
16 Nov 2018
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
48
19
0
29 Sep 2018
Semi-blind source separation with multichannel variational autoencoder
Semi-blind source separation with multichannel variational autoencoder
Hirokazu Kameoka
Li Li
S. Inoue
S. Makino
BDL
42
30
0
02 Aug 2018
Statistical Speech Enhancement Based on Probabilistic Integration of
  Variational Autoencoder and Non-Negative Matrix Factorization
Statistical Speech Enhancement Based on Probabilistic Integration of Variational Autoencoder and Non-Negative Matrix Factorization
Yoshiaki Bando
Masato Mimura
Katsutoshi Itoyama
Kazuyoshi Yoshii
Tatsuya Kawahara
71
120
0
31 Oct 2017
An overview of gradient descent optimization algorithms
An overview of gradient descent optimization algorithms
Sebastian Ruder
ODL
211
6,206
0
15 Sep 2016
Deep clustering: Discriminative embeddings for segmentation and
  separation
Deep clustering: Discriminative embeddings for segmentation and separation
J. Hershey
Zhuo Chen
Jonathan Le Roux
Shinji Watanabe
64
1,321
0
18 Aug 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
1