Abstract: This paper proposes a Discrete Wavelet Transform（DWT）-based robust and blind audio watermarking algorithm to resist cropping attack.The approach initially divides the audio signal into several frames including the same samples.Each frame is then transformed by DWT,aiming at extracting the low frequency coefficients of every frame and the corresponding absolute mean.According to comparison between the absolute mean and the low frequency coefficients,a binary image via Arnold pre-processing is embedded in audio low frequency coefficients in wavelet domain.Experimental results show the performance of the method is ideal under various signal processing manipulations such as Gaussian noise,resampling,MP3 compression,random cropping,jettering,especially,robust to cropping attacks.