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EBOOK
Author Thanki, Rohit,
Title Advance compression and watermarking technique for speech signals / Rohit Thanki, Komal Borisagar, Surekha Borra.
Imprint Cham : Springer, [2018]
2018

LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
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Series SpringerBriefs in electrical and computer engineering, Speech technology
SpringerBriefs in electrical and computer engineering. Speech technology.
Subject Digital watermarking.
Speech processing systems.
Alt Name Borisagar, Komal,
Borra, Surekha,
LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
Series SpringerBriefs in electrical and computer engineering, Speech technology
SpringerBriefs in electrical and computer engineering. Speech technology.
Subject Digital watermarking.
Speech processing systems.
Alt Name Borisagar, Komal,
Borra, Surekha,
Description 1 online resource (82 pages).
Bibliography Note Includes bibliographical references.
Summary This book introduces methods for copyright protection and compression for speech signals. The first method introduces copyright protection of speech signal using watermarking; the second introduces compression of the speech signal using Compressive Sensing (CS). Both methods are tested and analyzed. The speech watermarking method uses technology such as Finite Ridgelet Transform (FRT), Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD). The performance of the method is evaluated and compared with existing watermarking methods. In the speech compression method, the standard Compressive Sensing (CS) process is used for compression of the speech signal. The performance of the proposed method is evaluated using various transform bases like Discrete Fourier Transform (DFT), Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), Singular Value Decomposition (SVD), and Fast Discrete Curvelet Transform (FDCuT).
Note Online resource; title from PDF title page (EBSCO, viewed November 22, 2017).
ISBN 9783319690698 (electronic bk.)
3319690698 (electronic bk.)
9783319690681
331969068X
ISBN/ISSN 10.1007/978-3-319-69069-8
OCLC # 1011166524
Additional Format Printed edition: 9783319690681