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Krunal N. Patel - Robust and Secured Digital Audio Watermarking: Using a DWT-SVD-DSSS Hybrid Approach

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Krunal N. Patel Robust and Secured Digital Audio Watermarking: Using a DWT-SVD-DSSS Hybrid Approach
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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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SpringerBriefs in Speech Technology Studies in Speech Signal Processing - photo 1
SpringerBriefs in Speech Technology Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning
Series Editor
Amy Neustein
Fort Lee, NJ, USA

SpringerBriefs present concise summaries of cutting-edge research and practical applications across a wide spectrum of fields. Featuring compact volumes of 50 to 125 pages, the series covers a range of content from professional to academic. Typical topics might include:

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The goal of theThe goal of theSpringerBriefs in Speech Technology series is to serve as an important reference guide for speech developers, system designers, speech engineers and other professionals in academia, government and the private sector. To accomplish this task, the series will showcase the latest findings in speech technology, ranging from a comparative analysis of contemporary methods of speech parameterization to recent advances in commercial deployment of spoken dialog systems. series is to serve as an important reference guide for speech developers, system designers, speech engineers and other professionals in academia, government and the private sector. To accomplish this task, the series will showcase the latest findings in speech technology, ranging from a comparative analysis of contemporary methods of speech parameterization to recent advances in commercial deployment of spoken dialog systems.

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More information about this series at http://www.springer.com/series/10043

Krunal N. Patel
Robust and Secured Digital Audio Watermarking
Using a DWT-SVD-DSSS Hybrid Approach
1st ed. 2021
Krunal N Patel GH Patel College of Engineering and Technology CVM - photo 2
Krunal N. Patel
G.H Patel College of Engineering and Technology, CVM University, Bakrol, India
ISSN 2191-737X e-ISSN 2191-7388
SpringerBriefs in Speech Technology
ISBN 978-3-030-53910-8 e-ISBN 978-3-030-53911-5
https://doi.org/10.1007/978-3-030-53911-5
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.
The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.
The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This Springer imprint is published by the registered company Springer Nature Switzerland AG

The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland

Preface

Today, the use of digital data like image, audio, and video is tremendously increasing due to the advancement in technology and the Internet revolution. With these advancements, attaining ones ownership and copyrights for this digital data is the biggest challenge. Digital watermarking is one of the technique to attain ones ownership and copyrights securely. It is the technique in which the owners copyright information can be embedded into the original media in the form of an image, audio, text, or video. There are two main factors we need to observe for digital audio watermarking to maintain the robustness as well as imperceptibility against piracy, malicious attacks, and various transformation operations. Though there are many challenges to achieve these results, there are two approaches presented for audio watermarking that are used to improve the robustness, and imperceptibility of the embedded information with security. To provide the security, DSSS Encryption and Decryption algorithm is used which is based on synchronized secret key concept along with DWT, DFT and SVD transformation methods. DWT (Discreet Wavelet Transformation) is used up to the fourth level to get the lowest frequency sub-band and after that DFT is applied to get the lowest frequency from the sub-band found by DWT in which the modifications are done, and then SVD (Singular Value Decomposition) is applied to it, so that the original audio file does not have any impact of the watermark bits to get the better robustness and imperceptibility.

Krunal N. Patel
Bakrol, India
Acknowledgments

First and foremost, praises and thanks to the God, the Almighty, for His showers of blessings throughout my research work to complete the research successfully.

I forward my sincere thanks to Prof. Saurabh A. Shah and Prof. Dipti B. Shah for their valuable help during the work of this book. Their suggestions were always there whenever I needed them. As a research supervisor, they spared their valuable time for the in-depth discussion on this research work. Also, I would forward my hearty thanks to the Department of Computer Science and Engineering and the department head Dr. Chirag D. Patel for providing us the computer laboratory access during our needs.

I am extremely grateful to my parents for their love, prayers, caring, and sacrifices for educating and preparing me for my future. Also, I express my thanks to my sister and brother for their support and valuable prayers.

Hearty thanks to department administrators of C U SHAH University, for their kind cooperation and providing us with necessary software whenever we asked for it.

Finally, I would like to thank all the people who were helpful to me, whether directly or indirectly for the completion of this research work.

Patel Krunalkumar N.

Contents
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The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
K. N. Patel Robust and Secured Digital Audio Watermarking SpringerBriefs in Speech Technology Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning https://doi.org/10.1007/978-3-030-53911-5_1
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