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.
Reihe
Auflage
Sprache
Verlagsort
Verlagsgruppe
Springer International Publishing
Zielgruppe
Illustrationen
10
40 farbige Abbildungen, 10 s/w Abbildungen
IX, 122 p. 50 illus., 40 illus. in color.
Maße
Höhe: 235 mm
Breite: 155 mm
Dicke: 8 mm
Gewicht
ISBN-13
978-3-319-31681-9 (9783319316819)
DOI
10.1007/978-3-319-31683-3
Schweitzer Klassifikation
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.
