Metaheuristic Applications to Speech Enhancement

✍ Scribed by Prajna Kunche, K.V.V.S. Reddy (auth.)

Publisher: Springer International Publishing
Year: 2016
Tongue: English
Leaves: 126
Series: SpringerBriefs in Electrical and Computer Engineering
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-ix
Introduction....Pages 1-6
Adaptive Noise Cancellation to Speech Enhancement....Pages 7-15
Heuristic and Meta-Heuristic Optimization....Pages 17-24
Application of Meta-Heuristics to Speech Enhancement....Pages 25-37
Speech Enhancement Approach Based on Accelerated Particle Swarm Optimization (APSO)....Pages 39-60
Speech Enhancement Approach Based on Gravitational Search Algorithm (GSA)....Pages 61-75
Speech Enhancement Based on Hybrid PSOGSA....Pages 77-89
Speech Enhancement Based on Bat Algorithm (BA)....Pages 91-110
Conclusions and Future Scope....Pages 111-113
Back Matter....Pages 115-122

✦ Subjects

Signal, Image and Speech Processing; Algorithm Analysis and Problem Complexity; Computational Linguistics

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