Latent Variable Analysis and Signal Separation: 12th International Conference, LVA/ICA 2015, Liberec, Czech Republic, August 25-28, 2015, Proceedings

by Emmanuel Vincent, Arie Yeredor, Zbynek Koldovský, Petr Tichavský

Overview

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.

Product Details

ISBN-13:	9783319224817
Publisher:	Springer International Publishing
Publication date:	08/11/2015
Series:	Lecture Notes in Computer Science , #9237
Edition description:	1st ed. 2015
Pages:	532
Product dimensions:	6.10(w) x 9.25(h) x 0.04(d)

Table of Contents

Tensor-based methods for blind signal separation.- Deep neural networks for supervised speech separation/enhancment.- 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.