@article{(Open Science Index):https://publications.waset.org/pdf/10008718,
	  title     = {Robust and Transparent Spread Spectrum Audio Watermarking},
	  author    = {Ali Akbar Attari and  Ali Asghar Beheshti Shirazi},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper, we propose a blind and robust audio watermarking scheme based on spread spectrum in Discrete Wavelet Transform (DWT) domain. Watermarks are embedded in the low-frequency coefficients, which is less audible. The key idea is dividing the audio signal into small frames, and magnitude of the 6th level of DWT approximation coefficients is modifying based upon the Direct Sequence Spread Spectrum (DSSS) technique. Also, the psychoacoustic model for enhancing in imperceptibility, as well as Savitsky-Golay filter for increasing accuracy in extraction, is used. The experimental results illustrate high robustness against most common attacks, i.e. Gaussian noise addition, Low pass filter, Resampling, Requantizing, MP3 compression, without significant perceptual distortion (ODG is higher than -1). The proposed scheme has about 83 bps data payload.
},
	    journal   = {International Journal of Electronics and Communication Engineering},
	  volume    = {12},
	  number    = {2},
	  year      = {2018},
	  pages     = {145 - 149},
	  ee        = {https://publications.waset.org/pdf/10008718},
	  url   	= {https://publications.waset.org/vol/134},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 134, 2018},
	}