A new approach of data hiding within speech based on Hash and Hilbert Transform

In this paper, we present an approach for data hiding within speech signals based on Hash and Hilbert Transform (HT). The secret data is firstly pre-processed by Hash to enhance its security. Then, exploiting the orthogonality of HT and insensitivity of human perception to the phase of speech, we embed processed secret data into a speech signal by using the HT. We propose in this paper both blind and non-blind methods to extract embedded data. Experiment results have shown that the proposed scheme demonstrates transparent, secure and robust data hiding performances.