Overview
- Implements an audio watermarking algorithm that gives high robustness against various malicious attacks
- Provides a solution for preventing and tackling attacks for all types of audio data
- Includes a secured algorithm that can be used in defense systems for transmitting hidden messages in audio signal
Part of the book series: SpringerBriefs in Speech Technology (BRIEFSSPEECHTECH)
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About this book
This book discusses digital audio watermarking copyright assurance. The author first outlines the topic of watermarking data that can be used for copyright assurance that incorporates text messages, copyright audio, handwritten text, logo and cell phone numbers. The objective of this book is to propose a new algorithm that can embed and extract the watermarking information. The execution of the newly proposed algorithm is surveyed by testing data utilizing a group of various audio file types and against various attacks. The book also presents a new digital watermark algorithm that preserves the copyright property of the audio files. To do this, the author uses two techniques -- DWT and SVD -- with the combination of other techniques (DFT and DSSS) to enhance security and also provide high robustness and imperceptibility against various malicious attacks.
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Table of contents (7 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
About the author
Krunal N. Patel is currently working as an assistant professor at G.H. Patel College of engineering and Technology affiliated with CVM University. He has published 10+ research papers in the reputed journals and has been awarded by The International Association of Lions Clubs with “Award of Excellence”.
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Bibliographic Information
Book Title: Robust and Secured Digital Audio Watermarking
Book Subtitle: Using a DWT-SVD-DSSS Hybrid Approach
Authors: Krunal N. Patel
Series Title: SpringerBriefs in Speech Technology
DOI: https://doi.org/10.1007/978-3-030-53911-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-53910-8Published: 26 October 2020
eBook ISBN: 978-3-030-53911-5Published: 25 October 2020
Series ISSN: 2191-737X
Series E-ISSN: 2191-7388
Edition Number: 1
Number of Pages: XVIII, 88
Number of Illustrations: 6 b/w illustrations, 62 illustrations in colour
Topics: Signal, Image and Speech Processing, Communications Engineering, Networks