In the field of audio watermarking,reliably embedding the large numbe r of watermarking bits per second in an audio signal without affecting the audib le quality of the host audio with good robustness against signal processing atta cks is still a challenging work.To solve this problem,a high payload,transpar ent and robust audio watermarking algorithm based on discrete wavelet transform (DWT) and singular value decomposition (SVD) is proposed in this paper.First of all,the host audio signal is transformed to DWT and the low-frequency compone n ts are selected.The low-frequency components of the host audio have been selec t ively embedded with watermark image making the watermarked signal highly imperce ptibility and robustness.Subsequently,the low-frequency components is perform e d SVD and watermark image being embedded into the non-diagonal elements of the s ingular value matrix after SVD,which can simultaneously improve the transparenc y and capacity of the proposed algorithm.In addition,the hamming code encoding is used to improve the robustness and security of the watermark.Experimental r esults show that the proposed audio watermarking algorithm can achieve 5512bps capacity at an average signal-to-noise ratio (SNR) of 37.75dB with good robustn ess to various signal processing attacks such as noise addition,filtering,crop ping and compression.The comparison of the proposed algorithm with the other DW T-SVD techniques also shows that the proposed algorithm is able to achieve hig h payload with good robustness under perceptual constraints.