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A variance modeling framework based on variational autoencoders for
  speech enhancement

A variance modeling framework based on variational autoencoders for speech enhancement

5 February 2019
Simon Leglaive
Laurent Girin
Radu Horaud
    DRL
ArXivPDFHTML

Papers citing "A variance modeling framework based on variational autoencoders for speech enhancement"

6 / 6 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
393
10,591
0
17 Feb 2020
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
49
120
0
31 Oct 2017
Supervised Speech Separation Based on Deep Learning: An Overview
Supervised Speech Separation Based on Deep Learning: An Overview
DeLiang Wang
Jitong Chen
SSL
70
1,370
0
24 Aug 2017
A Neural Network Alternative to Non-Negative Audio Models
A Neural Network Alternative to Non-Negative Audio Models
Paris Smaragdis
Shrikant Venkataramani
30
56
0
12 Sep 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
Algorithms for nonnegative matrix factorization with the beta-divergence
Algorithms for nonnegative matrix factorization with the beta-divergence
Cédric Févotte
Jérôme Idier
120
803
0
08 Oct 2010
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