Abstract
In this paper, we propose an audio watermarking method in the discrete wavelet transform (DWT) and discrete cosine transform (DCT) domains using singular value decomposition (SVD) and quantization. In our proposed method, the original audio is initially segmented into nonoverlapping frames. Watermark information is embedded into the largest singular value of the DCT coefficients obtained from the DWT coefficients of each audio frame by quantization. Simulation results demonstrate that the proposed watermarking method is not only robust against various attacks but also achieves a good trade-off among imperceptibility, robustness, and payload. In addition, audio quality evaluation tests indicate the high imperceptibility of the watermark in the audio signal. The performance analysis of the proposed method shows low error probability rates. Moreover, it has a high data payload and superior performance to state-of-the-art audio watermarking methods.
