Latent Variable Analysis and Signal Separation - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783642285509, 9783642285516

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Separation of Sparse Signals in Overdetermined Linear-Quadratic Mixtures

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

10.1007/978-3-642-28551-6_30 ◽

2012 ◽

pp. 239-246 ◽

Cited By ~ 7

Author(s):

Leonardo T. Duarte ◽

Rafael A. Ando ◽

Romis Attux ◽

Yannick Deville ◽

Christian Jutten

Keyword(s):

Sparse Signals ◽

Linear Quadratic

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Improved Perceptual Metrics for the Evaluation of Audio Source Separation

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

10.1007/978-3-642-28551-6_53 ◽

2012 ◽

pp. 430-437 ◽

Cited By ~ 16

Author(s):

Emmanuel Vincent

Keyword(s):

Source Separation ◽

Audio Source Separation ◽

Perceptual Metrics

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Complex Non-Orthogonal Joint Diagonalization Based on LU and LQ Decompositions

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

10.1007/978-3-642-28551-6_7 ◽

2012 ◽

pp. 50-57 ◽

Cited By ~ 5

Author(s):

Ke Wang ◽

Xiao-Feng Gong ◽

Qiu-Hua Lin

Keyword(s):

Joint Diagonalization

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Model-Driven Speech Enhancement for Multisource Reverberant Environment (Signal Separation Evaluation Campaign (SiSEC) 2011)

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

10.1007/978-3-642-28551-6_56 ◽

2012 ◽

pp. 454-461 ◽

Cited By ~ 6

Author(s):

Pejman Mowlaee ◽

Rahim Saeidi ◽

Rainer Martin

Keyword(s):

Speech Enhancement ◽

Signal Separation ◽

Model Driven ◽

Reverberant Environment

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A Matrix Joint Diagonalization Approach for Complex Independent Vector Analysis

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

10.1007/978-3-642-28551-6_9 ◽

2012 ◽

pp. 66-73 ◽

Cited By ~ 1

Author(s):

Hao Shen ◽

Martin Kleinsteuber

Keyword(s):

Vector Analysis ◽

Independent Vector ◽

Joint Diagonalization ◽

Independent Vector Analysis

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Cramér-Rao Bound for Circular Complex Independent Component Analysis

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

10.1007/978-3-642-28551-6_6 ◽

2012 ◽

pp. 42-49 ◽

Cited By ~ 3

Author(s):

Benedikt Loesch ◽

Bin Yang

Keyword(s):

Independent Component Analysis ◽

Component Analysis ◽

Independent Component ◽

Cramer Rao Bound

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Semi-blind Source Separation Based on ICA and Overlapped Speech Detection

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

10.1007/978-3-642-28551-6_57 ◽

2012 ◽

pp. 462-469 ◽

Cited By ~ 8

Author(s):

Jiří Málek ◽

Zbyněk Koldovský ◽

Petr Tichavský

Keyword(s):

Blind Source Separation ◽

Source Separation ◽

Speech Detection

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Sound Recognition in Mixtures

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

10.1007/978-3-642-28551-6_50 ◽

2012 ◽

pp. 405-413 ◽

Cited By ~ 4

Author(s):

Juhan Nam ◽

Gautham J. Mysore ◽

Paris Smaragdis

Keyword(s):

Sound Recognition

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Complex Extension of Infinite Sparse Factor Analysis for Blind Speech Separation

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

10.1007/978-3-642-28551-6_48 ◽

2012 ◽

pp. 388-396 ◽

Cited By ~ 3

Author(s):

Kohei Nagira ◽

Toru Takahashi ◽

Tetsuya Ogata ◽

Hiroshi G. Okuno

Keyword(s):

Factor Analysis ◽

Speech Separation ◽

Complex Extension

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Ternary Sparse Coding

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

10.1007/978-3-642-28551-6_26 ◽

2012 ◽

pp. 204-212 ◽

Cited By ~ 3

Author(s):

Georgios Exarchakis ◽

Marc Henniges ◽

Julian Eggert ◽

Jörg Lücke

Keyword(s):

Sparse Coding

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

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Separation of Sparse Signals in Overdetermined Linear-Quadratic Mixtures

Improved Perceptual Metrics for the Evaluation of Audio Source Separation

Complex Non-Orthogonal Joint Diagonalization Based on LU and LQ Decompositions

Model-Driven Speech Enhancement for Multisource Reverberant Environment (Signal Separation Evaluation Campaign (SiSEC) 2011)

A Matrix Joint Diagonalization Approach for Complex Independent Vector Analysis

Cramér-Rao Bound for Circular Complex Independent Component Analysis

Semi-blind Source Separation Based on ICA and Overlapped Speech Detection

Sound Recognition in Mixtures

Complex Extension of Infinite Sparse Factor Analysis for Blind Speech Separation

Ternary Sparse Coding

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