Advance Compression and Watermarking Technique for Speech Signals

✍ Scribed by Rohit Thanki, Komal Borisagar, Surekha Borra

• Publisher: Springer International Publishing
• Year: 2018
• Tongue: English
• Leaves: 82
• Series: SpringerBriefs in Speech Technology
• Edition: 1
• Category: Library

✦ Synopsis

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).

✦ Table of Contents

Front Matter ....Pages i-xviii
Introduction (Rohit Thanki, Komal Borisagar, Surekha Borra)....Pages 1-13
Background Information (Rohit Thanki, Komal Borisagar, Surekha Borra)....Pages 15-25
Speech Watermarking Technique Using the Finite Ridgelet Transform, Discrete Wavelet Transform, and Singular Value Decomposition (Rohit Thanki, Komal Borisagar, Surekha Borra)....Pages 27-45
Speech Compression Technique Using Compressive Sensing Theory (Rohit Thanki, Komal Borisagar, Surekha Borra)....Pages 47-63
Conclusions (Rohit Thanki, Komal Borisagar, Surekha Borra)....Pages 65-66
Back Matter ....Pages 67-69

✦ Subjects

Signal, Image and Speech Processing