Efficient and Robust Audio Watermarking for Content Authentication and Copyright Protection

Digital audio watermarking aims to embed digital information in the form of multimedia files such as text, image or audio into an original audio signal. The main requirement of audio watermarking is to prove ownership as well as copyright protection. This paper presents efficient audio watermarking based on Wavelet transform. The L level Haar Wavelet transform is performed on the audio signal and the obtained detail coefficients are divided into short frames and the magnitude of the samples are then replaced with the closest Fibonacci numbers. The security of the watermarking technique is further enhanced by adapting cryptographic methods on the embedded secret text. The suggested technique mathematically proves that the average error for each sample is 25%. The fidelity of the technique is also proved mathematically. The experimental outcomes suggest that the method is having high capacity (1kbps to 3 kbps), robustness against various signal processing attacks and no significant perceptual distortion (ODG is around -1).