Combined adaptive wavelet level and singular value decomposition method for audio watermarking system

In this research, we analyzed the audio watermarking system with combining adaptive wavelet with SVD in various BCH Codes and various DWT levels. The perceptual quality, robustness and security of audio parameters: ODG, SNR and BER have been analized with various attacks and DWT levels. Our work analyzed these parameters at quantization spacing of 0.1 for both BCH codes of 15,11,1 and 15,7,2. ODG and SNR values for DWT level 1 is higher than level 3, that can reach ODG for BCH code 15,11,1 DWT level 1 = -1.4 and BCH code 15,7,2 DWT level 1 = -1.55 in echo attack type; SNR for BCH code 15,11,1 DWT level 1 = 11.88 dB and BCH code 15,7,2 DWT level 1 = 11.87 dB in equalizer attack type. While for watermark image BER parameter, the result of the research shows that BCH code 15,11,1 has better BER values than that of BCH code 15,7,2.