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Nonlinear Analyses and Algorithms for Speech Processing

International Conference on Non-Linear Speech Processing, NOLISP 2005, Barcelona, Spain, April 19-22, 2005, Revised Selected Papers

  • Conference proceedings
  • © 2005

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3817)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: NOLISP 2005.

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Table of contents (33 papers)

  1. The COST-277 European Action: An Overview

  2. Speaker Recognition

  3. Speech Analysis

  4. Voice Pathologies

Other volumes

  1. Nonlinear Analyses and Algorithms for Speech Processing

Keywords

About this book

We present in this volume the collection of ?nally accepted papers of NOLISP 2005 conference. It has been the third event in a series of events related to N- linear speech processing, in the framework of the European COST action 277 “Nonlinear speech processing”. Many speci?cs of the speech signal are not well addressed by conv- tional models currently used in the ?eld of speech processing. The purpose of NOLISP is to present and discuss novel ideas, work and results related to alternative techniques for speech processing, which depart from mainstream approaches. With this intention in mind, we provide an open forum for discussion. Alt- nate approaches are appreciated, although the results achieved at present may not clearly surpass results based on state-of-the-art methods. The call for papers was launched at the beginning of 2005, addressing the following domains: 1. Non-Linear Approximation and Estimation 2. Non-Linear Oscillators and Predictors 3. Higher-Order Statistics 4. Independent Component Analysis 5. Nearest Neighbors 6. Neural Networks 7. Decision Trees 8. Non-Parametric Models 9. Dynamics of Non-Linear Systems 10. Fractal Methods 11. Chaos Modeling 12. Non-Linear Di?erential Equations 13. Others All the main ?elds of speech processing are targeted by the workshop, namely: 1. Speech Coding:Thebit rateavailablefor speechsignalsmustbe strictly l- ited in order to accommodate the constraints of the channel resource.

Editors and Affiliations

  • Escola Universitària Politècnica de Mataró, UPC, Spain

    Marcos Faundez-Zanuy

  • Escola Universitària Politècnica de Mataró, Spain

    Léonard Janer, Antonio Satue-Villar

  • Department of Psychology, Second University of Naples, and IIASS, Vietri sul Mare, Italy

    Anna Esposito

  • The Auton Lab, Carnegie Mellon University, Pittsburgh, USA

    Josep Roure

  • Escola Universitària Politècnica de Mataró (UPC), Barcelona, Spain

    Virginia Espinosa-Duro

Bibliographic Information

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