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Nonlinear Analyses and Algorithms for Speech Processing

International Conference on Non-Linear Speech Processing, NOLISP 2005, Barcelona, Spain, April...

Marcos Faundez-Zanuy Léonard Janer Anna Esposito Antonio Satue-Villar

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English
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
19 January 2006
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.
Edited by:   , , , ,
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Country of Publication:   Germany
Edition:   2005 ed.
Volume:   3817
Dimensions:   Height: 235mm,  Width: 155mm,  Spine: 20mm
Weight:   1.230kg
ISBN:   9783540312574
ISBN 10:   3540312579
Series:   Lecture Notes in Artificial Intelligence
Pages:   384
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

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