Metaheuristic Applications to Speech Enhancement

Author:   Prajna Kunche ,  K.V.V.S. Reddy ,  K. V. V. S. Reddy
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2016
ISBN:  

9783319316819


Pages:   122
Publication Date:   21 April 2016
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Metaheuristic Applications to Speech Enhancement


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Overview

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.

Full Product Details

Author:   Prajna Kunche ,  K.V.V.S. Reddy ,  K. V. V. S. Reddy
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2016
Dimensions:   Width: 15.50cm , Height: 0.70cm , Length: 23.50cm
Weight:   2.117kg
ISBN:  

9783319316819


ISBN 10:   3319316818
Pages:   122
Publication Date:   21 April 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction.- Adaptive Noise Cancellation to Speech Enhancement.- Heuristic and Metaheuristic Optimization.- Application of Metaheuristics to Speech Enhancement.- Speech Enhancement Based on Accelerated Particle Swarm Optimization.- Speech Enhancement Approach Based on Gravitational Search Algorithm (GSA).- Speech Enhancement Based on Hybrid PSOGSA.- Speech Enhancement Based on Bat Algorithm.- Conclusion and Future Scope.

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