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Robust Digital Processing of Speech Signals

  • Book
  • © 2017

Overview

Authors:
  1. Branko Kovacevic

    1. University of Belgrade, Belgrade, Serbia

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  2. Milan M. Milosavljevic

    1. University of Belgrade, Belgrade, Serbia

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  3. Mladen Veinović

    1. Department of Informatics and Computing, Singidunum University, Belgrade, Serbia

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  4. Milan Marković

    1. Belgrade, Serbia

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  • Presents results of long-term cooperation in the research on speech signal processing

  • Highlights the significance of speech generation modeling

  • Introduces an innovative robust algorithm for digital speech signal processing

  • Includes supplementary material: sn.pub/extras

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-xii
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  2. Speech Signal Modeling

    • Branko Kovačević, Milan Milosavljević, Mladen Veinović, Milan Marković
    Pages 1-8

  3. Overview of Standard Methods

    • Branko Kovačević, Milan Milosavljević, Mladen Veinović, Milan Marković
    Pages 9-27

  4. Fundamentals of Robust Parameter Estimation

    • Branko Kovačević, Milan Milosavljević, Mladen Veinović, Milan Marković
    Pages 29-94

  5. Robust Non-recursive AR Analysis of Speech Signal

    • Branko Kovačević, Milan Milosavljević, Mladen Veinović, Milan Marković
    Pages 95-124

  6. Robust Recursive AR Analysis of Speech Signal

    • Branko Kovačević, Milan Milosavljević, Mladen Veinović, Milan Marković
    Pages 125-154

  7. Robust Estimation Based on Pattern Recognition

    • Branko Kovačević, Milan Milosavljević, Mladen Veinović, Milan Marković
    Pages 155-184

  8. Applications of Robust Estimators in Speech Signal Processing

    • Branko Kovačević, Milan Milosavljević, Mladen Veinović, Milan Marković
    Pages 185-212

  9. Back Matter

    Pages 213-224
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Keywords

About this book

This book focuses on speech signal phenomena, presenting a robustification of the usual speech generation models with regard to the presumed types of excitation signals, which is equivalent to the introduction of a class of nonlinear models and the corresponding criterion functions for parameter estimation. Compared to the general class of nonlinear models, such as various neural networks, these models possess good properties of controlled complexity, the option of working in “online” mode, as well as a low information volume for efficient speech encoding and transmission. Providing comprehensive insights, the book is based on the authors’ research, which has already been published, supplemented by additional texts discussing general considerations of speech modeling, linear predictive analysis and robust parameter estimation.

Authors and Affiliations

  • University of Belgrade, Belgrade, Serbia

    Branko Kovacevic, Milan M. Milosavljevic

  • Department of Informatics and Computing, Singidunum University, Belgrade, Serbia

    Mladen Veinović

  • Belgrade, Serbia

    Milan Marković

Bibliographic Information

  • Book Title: Robust Digital Processing of Speech Signals

  • Authors: Branko Kovacevic, Milan M. Milosavljevic, Mladen Veinović, Milan Marković

  • DOI: https://doi.org/10.1007/978-3-319-53613-2

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Academic Mind and Springer International Publishing AG 2017

  • Hardcover ISBN: 978-3-319-53611-8Published: 15 June 2017

  • Softcover ISBN: 978-3-319-85197-6Published: 01 August 2018

  • eBook ISBN: 978-3-319-53613-2Published: 06 June 2017

  • Edition Number: 1

  • Number of Pages: XII, 224

  • Number of Illustrations: 54 b/w illustrations

  • Topics: Signal, Image and Speech Processing, Natural Language Processing (NLP), Computational Intelligence

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