Advance Compression and Watermarking Technique for Speech Signals

Provides new technique for speech watermarking and speech compression
Presents a comprehensive review of speech watermarking techniques in spatial and transform domain
Describes a robust and secure watermarking technique for speech signals and addresses the issue of copyright protection of speech signals
Presents a comprehensive review of digital signal compression techniques using Compressive Sensing (CS)
Describes application of Compressive Sensing (CS) for compression of speech signals and addresses the issue of compression of speech signals

Provides new technique for speech watermarking and speech compression Presents a comprehensive review of speech watermarking techniques in spatial and transform domain Describes a robust and secure watermarking technique for speech signals and addresses the issue of copyright protection of speech signals Presents a comprehensive review of digital signal compression techniques using Compressive Sensing (CS) Describes application of Compressive Sensing (CS) for compression of speech signals and addresses the issue of compression of speech signals

Autorentext

Rohit Thanki obtained his Ph.D. in Multibiometric System Security from C. U. Shah University, Wadhwan city, Gujarat, India in 2017. His area of research interest is Digital Watermarking, Biometrics System, Security, Compressive Sensing, Pattern Recognition and Image Processing. He has published 2 books, 3 book chapters and 23 research papers to his credit in refereed & indexed journals, and conference at international and national level. His international recognition includes his professional memberships & services in refereed organizations, programme committees and reviewer for journals published by IEEE, Elsevier, Taylor & Francis, Springer, IGI-Global etc.

Komal Borisagar is currently an Associate Professor in the Department of ECE, Atmiya Institute of Technology and Science, Rajkot, Gujarat, India. She earned her Doctorate in Speech Processing form JJTU, Rajasthan in 2012. Her area of research interest is Digital Watermarking, Medical Image Compression, Wireless Communication, Speech Processing, and Image Processing. She has published 1 book chapters and more than 40 research papers to her credit in refereed & indexed journals, and conferences at international and national levels.

Surekha Borra is currently a Professor in the Department of ECE, K. S. Institute of Technology, Bangalore, Karnataka, India. She earned her Doctorate in Image Processing from Jawaharlal Nehru Technological University, Hyderabad, India, in 2015. Her research interests are in the areas of Image and Video Analytics, Machine Learning, Biometrics and Remote Sensing. She has published 4 book chapters and 22 research papers to her credit in refereed & indexed journals, and conferences at international and national levels. Her international recognition includes her professional memberships & services in refereed organizations, programme committees, editorial & review boards, wherein she has been a guest editor for 2journals and reviewer for journals published by IEEE, IET, Elsevier, Taylor & Francis, Springer, IGI-Global etc.,. She has received Woman Achiever's Award from The Institution of Engineers (India), for her prominent research and innovative contribution (s)., Woman Educator & Scholar Award for her contributions to teaching and scholarly activities, Young Woman Achiever Award for her contribution in Copyright Protection of Images.

Klappentext

Zusammenfassung
Provides new technique for speech watermarking and speech compression
Presents a comprehensive review of speech watermarking techniques in spatial and transform domain
Describes a robust and secure watermarking technique for speech signals and addresses the issue of copyright protection of speech signals
Presents a comprehensive review of digital signal compression techniques using Compressive Sensing (CS)
Describes application of Compressive Sensing (CS) for compression of speech signals and addresses the issue of compression of speech signals

Inhalt
Introduction.- Background Information.- Speech Watermarking Technique using Ridgelet, DWT and SVD.- Speech Compression Technique using CS Theory.- Conclusions.- References.