2018 IEEE Third International Conference on Data Science in Cyberspace (DSC) (2018)
Jun 18, 2018 to Jun 21, 2018
This paper proposed an algorithm to improve the robustness of audio watermark for the air channel propagation. Firstly, according to the characteristics of the air channel, noise energy is mainly concentrated in low frequency region. The frequency domain to embed watermark is selected. By modifying the FFT-transformed intermdiate frequency coefficients, the watermark is embedded so that the watermark can be robustly extracted while resisting channel interference. The experimental results show that the algorithm has good imperceptibility and can resist 10dB noise interference and resampling attacks. The embedding rate can reach 20bps while maintaining the accuracy rate of more than 92% within 1.5 meters. It can be well adapted to air channel propagation scenario, the performance of the algorithm is greatly improved.
audio watermarking, fast Fourier transforms
W. Diao, Y. Wu, W. Zhang, B. Liu and N. Yu, "Robust Audio Watermarking Algorithm Based on Air Channel Characteristics," 2018 IEEE Third International Conference on Data Science in Cyberspace (DSC), Guangzhou, China, 2018, pp. 288-293.