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Metaheuristic Applications to Speech Enhancement: SpringerBriefs in Speech Technology

Autor Prajna Kunche, K.V.V.S. Reddy
en Limba Engleză Paperback – 21 apr 2016
This book serves as a basic reference for thoseinterested in the application of metaheuristics to speech enhancement. Themajor goal of the book is to explain the basic concepts of optimization methodsand their use in heuristic optimization in speech enhancement to scientists,practicing engineers, and academic researchers in speech processing. Theauthors discuss why it has been a challenging problem for researchers todevelop new enhancement algorithms that aid in the quality and intelligibilityof degraded speech. They present powerful optimization methods to speechenhancement that can help to solve the noise reduction problems. Readers willbe able to understand the fundamentals of speech processing as well as theoptimization techniques, how the speech enhancement algorithms are implementedby utilizing optimization methods, and will be given the tools to develop newalgorithms. The authors also provide a comprehensive literature surveyregarding the topic.
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Specificații

ISBN-13: 9783319316819
ISBN-10: 3319316818
Pagini: 122
Ilustrații: IX, 122 p. 50 illus., 40 illus. in color.
Dimensiuni: 155 x 235 x 7 mm
Greutate: 0.2 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria SpringerBriefs in Speech Technology

Locul publicării:Cham, Switzerland

Cuprins

Introduction.- Adaptive Noise Cancellation to Speech Enhancement.- Heuristic and Metaheuristic Optimization.- Application of Metaheuristics to Speech Enhancement.- Speech EnhancementBased 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.

Caracteristici

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 previouslyproposed algorithms and provides suggestions for further research Includes supplementary material: sn.pub/extras