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Metaheuristic Applications to Speech Enhancement

  • Book
  • © 2016

Overview

Authors:
  1. Prajna Kunche

    1. Department of Electronics and Comm. Engg, Andhra University, Visakhapatnam, India

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    You can also search for this author in PubMed   Google Scholar

  2. K.V.V.S. Reddy

    1. Department of Electronics and Comm. Engg, Andhra University, Visakhapatnam, United Kingdom

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • Investigates the use of heuristic
  • optimization in speech enhancement
  • Explains the concepts of optimization
  • methods in an informative, logical, and constructive manner
  • Summarizes the conclusions of previously proposed algorithms and provides suggestions for further research
  • Includes supplementary material: sn.pub/extras

Part of the book series: SpringerBriefs in Speech Technology (BRIEFSSPEECHTECH)

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-ix
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  2. Introduction

    • Prajna Kunche, K. V. V. S. Reddy
    Pages 1-6

  3. Adaptive Noise Cancellation to Speech Enhancement

    • Prajna Kunche, K. V. V. S. Reddy
    Pages 7-15

  4. Heuristic and Meta-Heuristic Optimization

    • Prajna Kunche, K. V. V. S. Reddy
    Pages 17-24

  5. Application of Meta-Heuristics to Speech Enhancement

    • Prajna Kunche, K. V. V. S. Reddy
    Pages 25-37

  6. Speech Enhancement Approach Based on Accelerated Particle Swarm Optimization (APSO)

    • Prajna Kunche, K. V. V. S. Reddy
    Pages 39-60

  7. Speech Enhancement Approach Based on Gravitational Search Algorithm (GSA)

    • Prajna Kunche, K. V. V. S. Reddy
    Pages 61-75

  8. Speech Enhancement Based on Hybrid PSOGSA

    • Prajna Kunche, K. V. V. S. Reddy
    Pages 77-89

  9. Speech Enhancement Based on Bat Algorithm (BA)

    • Prajna Kunche, K. V. V. S. Reddy
    Pages 91-110

  10. Conclusions and Future Scope

    • Prajna Kunche, K. V. V. S. Reddy
    Pages 111-113

  11. Back Matter

    Pages 115-122
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Keywords

About this book

This book serves as a basic reference for those interested in the application of metaheuristics to speech enhancement. The major goal of the book is to explain the basic concepts of optimization methods and their use in heuristic optimization in speech enhancement to scientists, practicing engineers, and academic researchers in speech processing. The authors discuss why it has been a challenging problem for researchers to develop new enhancement algorithms that aid in the quality and intelligibility of degraded speech. They present powerful optimization methods to speech enhancement that can help to solve the noise reduction problems. Readers will be able to understand the fundamentals of speech processing as well as the optimization techniques, how the speech enhancement algorithms are implemented by utilizing optimization methods, and will be given the tools to develop new algorithms. The authors also provide a comprehensive literature survey regarding the topic.

Authors and Affiliations

  • Department of Electronics and Comm. Engg, Andhra University, Visakhapatnam, India

    Prajna Kunche

  • Department of Electronics and Comm. Engg, Andhra University, Visakhapatnam, United Kingdom

    K.V.V.S. Reddy

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