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2018 | Buch

Introduction Kapitel lesen Erstes Kapitel lesen

Advance Compression and Watermarking Technique for Speech Signals

verfasst von: Dr. Rohit Thanki, Dr. Komal Borisagar, Surekha Borra

Verlag: Springer International Publishing

Buchreihe : SpringerBriefs in Electrical and Computer Engineering

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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Über dieses Buch

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).

Inhaltsverzeichnis

Frontmatter
Chapter 1. Introduction
Abstract
This chapter presents the basic background of the speech signal and its characteristics. A basic overview of the watermarking technique and compressive sensing theory for the speech signal is also given in this chapter. Finally, the motivation for the presented research work is described.
Rohit Thanki, Komal Borisagar, Surekha Borra
Chapter 2. Background Information
Abstract
This chapter presents information on various signal transforms, which are used in the present research work. The chapter also describes the Arnold scrambling technique. Finally, performance evaluation parameters used in evaluation of the present research work are defined.
Rohit Thanki, Komal Borisagar, Surekha Borra
Chapter 3. Speech Watermarking Technique Using the Finite Ridgelet Transform, Discrete Wavelet Transform, and Singular Value Decomposition
Abstract
In this chapter, existing watermarking techniques for the speech signal and its various features are described. A new watermarking technique is composed of the finite ridgelet transform (FRT), discrete wavelet transform (DWT), and singular value decomposition (SVD). The security of the watermark information is provided using the Arnold scrambling technique. The encrypted watermark information is inserted into hybrid coefficients (singular values of approximation wavelet coefficients of ridgelet coefficients) of the speech signal using an additive watermarking approach. This technique is used for copyright protection of the speech signal over a communication channel.
Rohit Thanki, Komal Borisagar, Surekha Borra
Chapter 4. Speech Compression Technique Using Compressive Sensing Theory
Abstract
This chapter presents the application of compressive sensing (CS) theory for compression of a speech signal. The speech signal is first converted into its sparse coefficients using a signal transform. Then compressed sparse measurements of the speech signal are generated using its sparse coefficients and a measurement matrix, generated using normal Gaussian distribution. The compressed speech signal is reconstructed from its compressed sparse measurements using various CS reconstruction algorithms. In this chapter, two greedy CS reconstruction algorithms – orthogonal matching pursuit (OMP) and compressive sensing matching pursuit (COSAMP) – are used for generation of a compressed speech signal.
Rohit Thanki, Komal Borisagar, Surekha Borra
Chapter 5. Conclusions
Abstract
This chapter concludes this book with a brief summary of the presented research work. The future direction of related research work for speech signals is also discussed.
Rohit Thanki, Komal Borisagar, Surekha Borra
Backmatter
Metadaten
Titel
Advance Compression and Watermarking Technique for Speech Signals
verfasst von
Dr. Rohit Thanki
Dr. Komal Borisagar
Surekha Borra
Copyright-Jahr
2018
Electronic ISBN
978-3-319-69069-8
Print ISBN
978-3-319-69068-1
DOI
https://doi.org/10.1007/978-3-319-69069-8

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