Latent Variable Analysis and Signal Separation - Lecture Notes in Computer Science
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Published By Springer International Publishing

9783319224817, 9783319224824

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Improving Deep Neural Network Based Speech Enhancement in Low SNR Environments

Latent Variable Analysis and Signal Separation - Lecture Notes in Computer Science ◽

10.1007/978-3-319-22482-4_9 ◽

2015 ◽

pp. 75-82 ◽

Cited By ~ 8

Author(s):

Tian Gao ◽

Jun Du ◽

Yong Xu ◽

Cong Liu ◽

Li-Rong Dai ◽

...

Keyword(s):

Neural Network ◽

Speech Enhancement ◽

Deep Neural Network ◽

Low Snr

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Decomposition-Based Compression of Ultrasound Raw-Data

Latent Variable Analysis and Signal Separation - Lecture Notes in Computer Science ◽

10.1007/978-3-319-22482-4_61 ◽

2015 ◽

pp. 522-529 ◽

Cited By ~ 1

Author(s):

Yael Yankelevsky ◽

Arie Feuer ◽

Zvi Friedman

Keyword(s):

Raw Data

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Bayesian Blind Source Separation with Unknown Prior Covariance

Latent Variable Analysis and Signal Separation - Lecture Notes in Computer Science ◽

10.1007/978-3-319-22482-4_41 ◽

2015 ◽

pp. 352-359

Author(s):

Ondřej Tichý ◽

Václav Šmídl

Keyword(s):

Blind Source Separation ◽

Source Separation

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Rank Splitting for CANDECOMP/PARAFAC

Latent Variable Analysis and Signal Separation - Lecture Notes in Computer Science ◽

10.1007/978-3-319-22482-4_4 ◽

2015 ◽

pp. 31-40 ◽

Cited By ~ 1

Author(s):

Anh-Huy Phan ◽

Petr Tichavský ◽

Andrzej Cichocki

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Blind Separation of Mixtures of Piecewise AR(1) Processes and Model Mismatch

Latent Variable Analysis and Signal Separation - Lecture Notes in Computer Science ◽

10.1007/978-3-319-22482-4_35 ◽

2015 ◽

pp. 304-311 ◽

Cited By ~ 2

Author(s):

Petr Tichavský ◽

Ondřej Šembera ◽

Zbyněk Koldovský

Keyword(s):

Blind Separation ◽

Model Mismatch ◽

Separation Of Mixtures

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Improving Relative Transfer Function Estimates Using Second-Order Cone Programming

Latent Variable Analysis and Signal Separation - Lecture Notes in Computer Science ◽

10.1007/978-3-319-22482-4_26 ◽

2015 ◽

pp. 227-234 ◽

Cited By ~ 2

Author(s):

Zbyněk Koldovský ◽

Jiří Málek ◽

Petr Tichavský

Keyword(s):

Transfer Function ◽

Second Order ◽

Cone Programming ◽

Second Order Cone Programming ◽

Second Order Cone ◽

Relative Transfer ◽

Relative Transfer Function

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Source Separation in Post-nonlinear Mixtures by Means of Monotonic Networks

Latent Variable Analysis and Signal Separation - Lecture Notes in Computer Science ◽

10.1007/978-3-319-22482-4_20 ◽

2015 ◽

pp. 176-183 ◽

Cited By ~ 1

Author(s):

Leonardo Tomazeli Duarte ◽

Filipe de Oliveira Pereira ◽

Romis Attux ◽

Ricardo Suyama ◽

João M. T. Romano

Keyword(s):

Source Separation ◽

Nonlinear Mixtures

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Joint Independent Subspace Analysis: A Quasi-Newton Algorithm

Latent Variable Analysis and Signal Separation - Lecture Notes in Computer Science ◽

10.1007/978-3-319-22482-4_13 ◽

2015 ◽

pp. 111-118 ◽

Cited By ~ 6

Author(s):

Dana Lahat ◽

Christian Jutten

Keyword(s):

Subspace Analysis ◽

Newton Algorithm ◽

Quasi Newton ◽

Independent Subspace Analysis

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Block-Decoupling Multivariate Polynomials Using the Tensor Block-Term Decomposition

Latent Variable Analysis and Signal Separation - Lecture Notes in Computer Science ◽

10.1007/978-3-319-22482-4_2 ◽

2015 ◽

pp. 14-21 ◽

Cited By ~ 2

Author(s):

Philippe Dreesen ◽

Thomas Goossens ◽

Mariya Ishteva ◽

Lieven De Lathauwer ◽

Johan Schoukens

Keyword(s):

Multivariate Polynomials ◽

Block Term Decomposition

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A Polynomial Formulation for Joint Decomposition of Symmetric Tensors of Different Orders

Latent Variable Analysis and Signal Separation - Lecture Notes in Computer Science ◽

10.1007/978-3-319-22482-4_3 ◽

2015 ◽

pp. 22-30 ◽

Cited By ~ 1

Author(s):

Pierre Comon ◽

Yang Qi ◽

Konstantin Usevich

Keyword(s):

Symmetric Tensors ◽

Polynomial Formulation ◽

Joint Decomposition

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Latent Variable Analysis and Signal Separation - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Improving Deep Neural Network Based Speech Enhancement in Low SNR Environments

Decomposition-Based Compression of Ultrasound Raw-Data

Bayesian Blind Source Separation with Unknown Prior Covariance

Rank Splitting for CANDECOMP/PARAFAC

Blind Separation of Mixtures of Piecewise AR(1) Processes and Model Mismatch

Improving Relative Transfer Function Estimates Using Second-Order Cone Programming

Source Separation in Post-nonlinear Mixtures by Means of Monotonic Networks

Joint Independent Subspace Analysis: A Quasi-Newton Algorithm

Block-Decoupling Multivariate Polynomials Using the Tensor Block-Term Decomposition

A Polynomial Formulation for Joint Decomposition of Symmetric Tensors of Different Orders

Latent Variable Analysis and Signal Separation - Lecture Notes in Computer Science
Latest Publications