Advances in Audio Watermarking Based on Singular Value Decomposition, 2015 SpringerBriefs in Speech Technology Series

This book introduces audio watermarking methods for copyright protection, which has drawn extensive attention for securing digital data from unauthorized copying. The book is divided into two parts. First, an audio watermarking method in discrete wavelet transform (DWT) and discrete cosine transform (DCT) domains using singular value decomposition (SVD) and quantization is introduced. This method is robust against various attacks and provides good imperceptible watermarked sounds. Then, an audio watermarking method in fast Fourier transform (FFT) domain using SVD and Cartesian-polar transformation (CPT) is presented. This method has high imperceptibility and high data payload and it provides good robustness against various attacks. These techniques allow media owners to protect copyright and to show authenticity and ownership of their material in a variety of applications.

·         Features new methods of audio watermarking for copyright protection and ownership protection

·         Outlines techniques that provide superior performance in terms of imperceptibility, robustness, and data payload

·         Includes applications such as data authentication, data indexing, broadcast monitoring, fingerprinting, etc.

Features new methods of audio watermarking for copyright protection and ownership protection

Outlines techniques that provide superior performance in terms of imperceptibility, robustness, and data payload

Includes applications such as data authentication, data indexing, broadcast monitoring, fingerprinting, etc.