Adaptive Segmentation on Audio Watermarking using Signal Differential Concept and Multibit Spread Spectrum Technique

Abstract

Audio data digital piracy is a crucial matter since it jeopardizes the original contents copyright. Spread spectrum (SS) audio watermarking is an effective method of preventing digital audio piracy. Numerous studies have been published about these spread spectrum (SS) audio watermarking technologies. However, those technologies did not have enough capacity and high robustness at the same time. Therefore, the audio watermarking system in this paper is based on a unique Adaptive Segmentation and the multibit SS-based that can embed multiple watermark bits into the host audio signal utilizing one random pseudo-noise (PN) to represent multiple watermark bits. By determining the highest response value of the second-order derivative of the original audio signal, the audio watermark in this paper is robust against typical assaults and has good performance against desynchronization attacks. The audio watermarking technique in this paper has high imperceptibility, has a large embedding capacity, good robustness, and has been proven to be effective through numerous simulations.