A Blind and Self-Synchronized Audio Watermarking Algorithm Based on

This paper proposes a self-synchronized blind audio watermarking algorithm to embed watermark data by using the Discrete Cosine Transform (DCT) coefficients to copyright protection of audio data. The key idea is to divide the selected frequency band of DCT into short frames and change the samples of each frame based on the embedded watermark bits. The average of DCT coefficients of each sub-frame to embed watermark bit and also standard deviation in order to extract it are the main idea. The experimental results show a high capacity, without significant perceptual distortions in comparison with other algorithms in this subject. Moreover, it provides good robustness against common signal processing attacks such as Additive White Gaussian Noise (AWGN), Resampling, Re-quantizing, MPEG Compression (Mp3) and Echo