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Compressed sensing (CS) is an emerging signal acquisition theory that provides a universal approach for characterizing signals which are sparse or compressible on some basis at sub-Nyquist sampling rate. This paper focuses on the realization of CS on natural speech signals. We construct an over-complete data-driven dictionary as the sparse basis specialized for speech signals. Based on this, CS sampling...
This paper proposes a novel scheme for speech secure communication based on information hiding and Compressed Sensing (CS). The scheme first uses CS technology to compress the secret speech and reduce the information bit rate to be embedded, which is significantly different from state-of-art secret speech processing methods. Secret bit stream is then embedded into cover speech based on SCS (Scalar...
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