A watermaking method for speech signals based on the time-warping signal processing concept

نویسندگان

  • Cornel Ioana
  • Arnaud Jarrot
  • André Quinquis
  • Sridhar Krishnan
چکیده

This paper deals with the watermarking of audio speech signals which consists in introducing an imperceptible mark in a signal. To this end, we suggest to use an amplitude modulated signal that mimics a formantic structure present in the signal. This allows to exploit the time–masking effect occurring when two signals are close in the time–frequency plane. From this embedding scheme, a watermark extraction method based on nonstationary linear filtering and matched filter detection is proposed in order to recover informations carried by the watermark. Numerical results conducted on a real speech signal show that the watermark is likely not hearable and informations carried by the watermark are easily retrievable.

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تاریخ انتشار 2017