Open AccessAdaptive Audio Watermarking Algorithm Based on Wavelet Transform
Author(s) -
Heng Lü,
Mingjing Zhong,
Haixiang Lan,
Ruchong Hou,
Zhengjiang Hu
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/719/1/012033
Subject(s) - digital watermarking , discrete wavelet transform , second generation wavelet transform , stationary wavelet transform , audio signal , computer science , wavelet transform , algorithm , wavelet packet decomposition , wavelet , haar wavelet , robustness (evolution) , anti aliasing , artificial intelligence , speech recognition , mathematics , audio signal processing , speech coding , image (mathematics) , biochemistry , chemistry , gene
Aiming at the problem of small capacity and poor robustness of audio watermarking information, an adaptive digital audio blind watermarking algorithm based on wavelet transform is proposed. In this algorithm, each frame of the audio signal is converted into a discrete transform by using Haar wavelet, and the fine and approximate components are obtained, and the component masking threshold is calculated. Finally, the watermark embedding position is selected by the adaptive algorithm, quantized and modulated in the audio. The intermediate and low frequency coefficients of the signal. The simulation results show that the proposed algorithm has some resistance to common signal processing attacks and is robust to resampling and low-pass filtering attacks.