SSA-based audio-information-hiding scheme with psychoacoustic model

This paper proposes an inaudible and robust audio-information-hiding scheme based on the singular-spectrum analysis (SSA) and a psychoacoustic model. SSA is used to decompose the host signals into several additive oscillatory components. The hidden information is embedded into the host signals by modifying amplitudes of some oscillatory components. To satisfy the inaudibility, we propose a novel method which is based on the psychoacoustic model to choose the oscillatory components that distort the host signal only slightly after the modification. Accordingly, to associate the output from the psychoacoustic model with the SSA-based scheme, the relationship between the frequency components and singular-value indices is established. The test results show that the proposed scheme achieves both inaudibility and robustness. In addition, compared with the previously proposed scheme based on automatic parameterized SSA using the differential evolution, this proposed scheme has more advantage in terms of reducing the computational time.