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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...
This paper proposes an audio watermarking scheme based on singular-spectrum analysis (SSA) and differential evolution. In our framework, a watermark is embedded into an audio signal by modifying the amplitude of some oscillatory components which are decomposed by SSA, and a parameter set for the modification is determined by differential evolution. Test results showed that, although there is a trade-off...
Audio data hiding techniques have been applied various applications such as audio watermarking and steganography. In this paper, we propose an audio data hiding method based on the phase information of the modulated complex lapped transform (MCLT) coefficients and evaluate the performance in terms of audio quality and robustness. To embed and extract the data, the proposed technique modifies the phases...
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