Introduction

This book deals with the digital audio watermarking copyright assurance. The watermarking data that will be utilized incorporates text messages, copyright audio, written by hand marks, and cell phone numbers. The purpose behind this is they are more instr

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Krunal N. Patel

Robust and Secured Digital Audio Watermarking Using a DWT-SVDDSSS Hybrid Approach 123

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: • A timely report of state-of-the-art analytical techniques • A bridge between new research results, as published in journal articles, and a contextual literature review • A snapshot of a hot or emerging topic • An in-depth case study or clinical example • A presentation of core concepts that students must understand in order to make independent contributions Briefs are characterized by fast, global electronic dissemination, standard publishing contracts, standardized manuscript preparation and formatting guidelines, and expedited production schedules. The 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. ** Indexing: books in this series are indexed in Scopus **

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Krunal N. Patel

Robust and Secured Digital Audio Watermarking Using a DWT-SVD-DSSS Hybrid Approach

Krunal N. Patel G.H Patel College of Engineering and Technology, CVM University Bakrol, India

ISSN 2191-737X ISSN 2191-7388 (electronic) SpringerBriefs in Speech Technology ISBN 978-3-030-53910-8 ISBN 978-3-030-53911-5 (eBook) https://doi.org/10.1007/978-3-030-53911-5 © The Author(s), under exclusive license to Springer Nature Switzerland AG 2021 This work is subject to copyright. All rights are reserved 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

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