Fractional Fourier Transform Techniques for Speech Enhancement
This book explains speech enhancement in the Fractional Fourier Transform (FRFT) domain and investigates the use of different FRFT algorithms in both single channel and multi-channel enhancement systems, which has proven to be an ideal time frequency anal
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Prajna Kunche N. Manikanthababu
Fractional Fourier Transform Techniques for Speech Enhancement 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 the SpringerBriefs 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.
More information about this series at http://www.springer.com/series/10043
Prajna Kunche • N. Manikanthababu
Fractional Fourier Transform Techniques for Speech Enhancement
Prajna Kunche Indira Gandhi Centre for Atomic Research Kalpakkam, Tamil Nadu, India
N. Manikanthababu Indira Gandhi Centre for Atomic Research Kalpakkam, Tamil Nadu, India
ISSN 2191-737X ISSN 2191-7388 (electronic) SpringerBriefs in Speech Technology ISBN 978-3-030-42745-0 ISBN 978-3-030-42746-7 (eBook) https://doi.org/10.1007/978-3-030-42746-7 © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2020 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
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