© 2010

Latent Variable Analysis and Signal Separation

9th International Conference, LVA/ICA 2010, St. Malo, France, September 27-30, 2010. Proceedings

  • Vincent Vigneron
  • Vicente Zarzoso
  • Eric Moreau
  • Rémi Gribonval
  • Emmanuel Vincent
Conference proceedings LVA/ICA 2010

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6365)

Table of contents

  1. Front Matter
  2. Speech and Audio Applications

    1. Jiří Málek, Zbyněk Koldovský, Petr Tichavský
      Pages 9-16
    2. Alexey Ozerov, Emmanuel Vincent, Frédéric Bimbot
      Pages 33-40
    3. Keisuke Hasegawa, Nobutaka Ono, Shigeki Miyabe, Shigeki Sagayama
      Pages 57-64
    4. Nobutaka Ito, Emmanuel Vincent, Nobutaka Ono, Rémi Gribonval, Shigeki Sagayama
      Pages 81-88
  3. Convolutive Signal Separation

    1. Jonathan Le Roux, Emmanuel Vincent, Yuu Mizuno, Hirokazu Kameoka, Nobutaka Ono, Shigeki Sagayama
      Pages 89-96
  4. The 2010 Signal Separation Evaluation Campaign (SiSEC2010)

    1. Shoko Araki, Alexey Ozerov, Vikrham Gowreesunker, Hiroshi Sawada, Fabian Theis, Guido Nolte et al.
      Pages 114-122
    2. Shoko Araki, Fabian Theis, Guido Nolte, Dominik Lutter, Alexey Ozerov, Vikrham Gowreesunker et al.
      Pages 123-130
  5. Audio

    1. Qingju Liu, Wenwu Wang, Philip Jackson
      Pages 131-139
    2. Gautham J. Mysore, Paris Smaragdis, Bhiksha Raj
      Pages 140-148
    3. Masahiro Nakano, Jonathan Le Roux, Hirokazu Kameoka, Yu Kitano, Nobutaka Ono, Shigeki Sagayama
      Pages 149-156

About these proceedings


This book constitutes the proceedings of the 9th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2010, held in St. Malo, France, in September 2010.

The 25 papers presented were carefully reviewed and selected from over hundred submissions. The papers collected in this volume demonstrate that the research activity in the field continues to gather theoreticians and practitioners, with contributions ranging range from abstract concepts to the most concrete and applicable questions and considerations. Speech and audio, as well as
biomedical applications, continue to carry the mass of the considered applications. Unsurprisingly the concepts of sparsity and non-negativity, as well as tensor decompositions, have become predominant, reflecting the strong
activity on these themes in signal and image processing at large.


EEG MIMO Online Segment blind source separation interference cancellation matrix factorization noice cancellation phase analysis semantic indexing signal processing signal separation sparse component analysis subspace analysis vector analysis

Editors and affiliations

  • Vincent Vigneron
    • 1
  • Vicente Zarzoso
    • 2
  • Eric Moreau
    • 3
  • Rémi Gribonval
    • 4
  • Emmanuel Vincent
    • 5
  1. 1.Dept. of Electrical EngineeringUniversitè d’Evry Val d’EssoneCourcouronnesFrance
  2. 2.Laboratoire I3S, Les Algorithmes - Euclide-B, BP 121Université de Nice-Sophia AntipolisSophia Antipolis CedexFrance
  3. 3.School of Engineering, Dept. of Telecommunications, ISITSchool of Engineering, Dept. of Telecommunications, ISITVUniversité de Toulon83162France
  4. 4.INRIA France, Equipe-projet METISS, Centre de Recherche INRIA Rennes-Bretagne AtlantiqueRennes cedexFrance
  5. 5.INRIA France, Equipe-projet METISS, Centre de Recherche INRIA Rennes-Bretagne AtlantiqueRennes CedexFrance

Bibliographic information