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

Cornel Ioana (1) , Arnaud Null Jarrot (2) , André Quinquis (2) , Sridhar Krishnan (3)

1 GIPSA-SIGMAPHY - GIPSA - Signal Images Physique
2 E3I2 - Extraction et Exploitation de l'Information en Environnements Incertains
3 SAR - Signal Analysis Research Group

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 extractionmethod based on nonstationary linear filtering and matched aflter detection is proposed in order to recover information 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.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Cornel Ioana, Arnaud Null Jarrot, André Quinquis, Sridhar Krishnan. A watermaking method for speech signals based on the time-warping signal processing concept. ICASSP 2007 - IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2007, Honolulu, Hawaii, United States. pp.201-204, ⟨10.1109/ICASSP.2007.366207⟩. ⟨hal-00349532⟩