Speech watermarking with objective fidelity and robustness criteria

Speech watermarking strategies inevitably alter original signal content. Fidelity is adversely affected by increased perturbation while watermark robustness to attack is generally improved. Parameter-embedded watermarking is effected through slight perturbations of parametric models of some deeply integrated dynamics of the speech. Within this framework, a specific algorithm is presented in which the fidelity-robustness tradeoff can be objectively assessed and quantifiably adjusted according to specific measures. An overview of the general parameter-embedding strategy is followed by presentation of the featured algorithm, analysis of its properties, and experiments with speech data to assess fidelity, robustness, and other performance properties.