Metaheuristic Applications to Speech Enhancement

1. Auflage 2016
ISBN: 978-3-319-31681-9
Verlag: Springer International Publishing

Buch, Englisch, 122 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 2117 g

Reihe: SpringerBriefs in Speech Technology

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.

Zielgruppe

Research

Autoren/Hrsg.

Reddy, K. V. V. S.

Kunche, Prajna

Fachgebiete

• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung
• Mathematik | Informatik EDV | Informatik Informatik Tonsignalverarbeitung
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung

Inhaltsverzeichnis

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.