Audio Watermarking Based on HAS and Neural Networks in DCT Domain

  title={Audio Watermarking Based on HAS and Neural Networks in DCT Domain},
  author={Hung-Hsu Tsai and Ji-Shiung Cheng and Pao-Ta Yu},
  journal={EURASIP J. Adv. Sig. Proc.},
We propose a new intelligent audio watermarking method based on the characteristics of the HAS and the techniques of neural networks in the DCT domain. The method makes the watermark imperceptible by using the audio masking characteristics of the HAS. Moreover, the method exploits a neural network for memorizing the relationships between the original audio signals and the watermarked audio signals. Therefore, the method is capable of extracting watermarks without original audio signals. Finally… CONTINUE READING
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A tutorial on mpeg audio compression

  • D. Pan
  • IEEE Multimedia Journal, vol. 2, no. 2, pp. 60–74…
  • 1995
Highly Influential
5 Excerpts

Neural Networks: A Comprehensive Foundation, Macmillan College Publishing

  • S. Haykin
  • 1995
Highly Influential
3 Excerpts

Information technology— coding of moving pictures and associated audio for digital storage up to about 1.5Mbits/s

  • ISOIEC IS 11172 MPEG
  • 1993.
  • 1993
Highly Influential
5 Excerpts

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