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Latent Variable Analysis and Signal Separation

12th International Conference, LVA/ICA 2015, Liberec, Czech Republic, August 25-28, 2015, Proceedings

  • Emmanuel Vincent
  • Arie Yeredor
  • Zbyněk Koldovský
  • Petr Tichavský

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9237)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 9237)

Table of contents

  1. Front Matter
    Pages I-XVI
  2. Tensor-Based Methods for Blind Signal Separation

    1. Front Matter
      Pages 1-1
    2. Philippe Dreesen, Thomas Goossens, Mariya Ishteva, Lieven De Lathauwer, Johan Schoukens
      Pages 14-21
    3. Anh-Huy Phan, Petr Tichavský, Andrzej Cichocki
      Pages 31-40
    4. Mariya Ishteva
      Pages 49-55
    5. Jianshu Zhang, Ahmad Nimr, Kristina Naskovska, Martin Haardt
      Pages 64-72
  3. Deep Neural Networks for Supervised Speech Separation/Enhancement

    1. Front Matter
      Pages 73-73
    2. Tian Gao, Jun Du, Yong Xu, Cong Liu, Li-Rong Dai, Chin-Hui Lee
      Pages 75-82
    3. Jitong Chen, Yuxuan Wang, DeLiang Wang
      Pages 83-90
    4. Felix Weninger, Hakan Erdogan, Shinji Watanabe, Emmanuel Vincent, Jonathan Le Roux, John R. Hershey et al.
      Pages 91-99
  4. Joint Analysis of Multiple Datasets, Data Fusion, and Related Topics

    1. Front Matter
      Pages 109-109
    2. Dana Lahat, Christian Jutten
      Pages 111-118
    3. Rodrigo Cabral Farias, Jérémy Emile Cohen, Christian Jutten, Pierre Comon
      Pages 119-126
    4. Ofir Lindenbaum, Arie Yeredor, Moshe Salhov
      Pages 127-134
    5. Antoine Liutkus, Umut Şimşekli, A. Taylan Cemgil
      Pages 135-142
    6. Israel D. Gebru, Silèye Ba, Georgios Evangelidis, Radu Horaud
      Pages 143-151
  5. Advances in Nonlinear Blind Source Separation

    1. Front Matter
      Pages 153-153
    2. Ivica Kopriva, Sanja Kapitanović, Tamara Čačev
      Pages 168-175
    3. Leonardo Tomazeli Duarte, Filipe de Oliveira Pereira, Romis Attux, Ricardo Suyama, João M. T. Romano
      Pages 176-183
    4. Bahram Ehsandoust, Masoud Babaie-Zadeh, Christian Jutten
      Pages 193-200
  6. Sparse and Low-Rank Modeling for Acoustic Signal Processing

    1. Front Matter
      Pages 201-201
    2. Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
      Pages 203-210
    3. Jian Guan, Jing Dong, Xuan Wang, Wenwu Wang
      Pages 211-218
    4. Zbyněk Koldovský, Jakub Janský, Francesco Nesta
      Pages 219-226
    5. Zbyněk Koldovský, Jiří Málek, Petr Tichavský
      Pages 227-234
    6. Srđan Kitić, Nancy Bertin, Rémi Gribonval
      Pages 243-250
    7. Çağdaş Bilen, Alexey Ozerov, Patrick Pérez
      Pages 251-258
    8. Pablo Sprechmann, Joan Bruna, Yann LeCun
      Pages 259-267
  7. Theory

    1. Front Matter
      Pages 269-269
    2. Milad Niknejad, Mostafa Sadeghi, Massoud Babaie-Zadeh, Hossein Rabbani, Christian Jutten
      Pages 271-278
    3. Xian Wei, Martin Kleinsteuber, Hao Shen
      Pages 279-286
    4. Ken Takano, Hideitsu Hino, Yuki Yoshikawa, Noboru Murata
      Pages 287-294
    5. Clemens Hage, Martin Kleinsteuber
      Pages 295-303
    6. Petr Tichavský, Ondřej Šembera, Zbyněk Koldovský
      Pages 304-311
    7. D. F. F. Baptista, R. A. Ando, L. T. Duarte, C. Jutten, R. Attux
      Pages 312-319
    8. Pauliina Ilmonen, Klaus Nordhausen, Hannu Oja, Fabian Theis
      Pages 328-335
    9. Sajad Daei, Massoud Babaie-Zadeh, Christian Jutten
      Pages 344-351
    10. Ondřej Tichý, Václav Šmídl
      Pages 352-359
    11. Stéphane Chrétien, Tianwen Wei
      Pages 360-367

About these proceedings

Introduction

This book constitutes the proceedings of the 12th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICS 2015, held in Liberec, Czech Republic, in August 2015. The 61 revised full papers presented – 29 accepted as oral presentations and 32 accepted as poster presentations – were carefully reviewed and selected from numerous submissions. Five special topics are addressed: tensor-based methods for blind signal separation; deep neural networks for supervised speech separation/enhancement; joined analysis of multiple datasets, data fusion, and related topics; advances in nonlinear blind source separation; sparse and low rank modeling for acoustic signal processing.

Keywords

audio signal processing augmented statistics classification computational imaging decision trees deep learning empirical kernel maps environmental monitoring independent vector analysis joint block diagonalization medical imaging mobile sensor network multilinear algebra real-time similarity measures sparse modeling speech separation statistical modeling supervised learning texture analysis

Editors and affiliations

  • Emmanuel Vincent
    • 1
  • Arie Yeredor
    • 2
  • Zbyněk Koldovský
    • 3
  • Petr Tichavský
    • 4
  1. 1.InriaVillers-les-NancyFrance
  2. 2.Tel Aviv UniversityTel-AvivIsrael
  3. 3.Technical University of LibereLiberecCzech Republic
  4. 4.The Czech Academy of SciencesPragueCzech Republic

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-22482-4
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-22481-7
  • Online ISBN 978-3-319-22482-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site