Abstract
A novel method to embed secret speech into open speech is proposed. The secret speech is coded into binary parameter bits with Mix-Excitation Linear Prediction (MELP) algorithm, and the bits are used to form hiding information sequence. The open speech is automatically divided into voiced frames and unvoiced frame using auditory wavelet transform. One voice frame, the auditory wavelet transform was used to detect pitch, and the pitch is utilized to the current embedding position in open speech. The information hiding procedure is completed by modifying relevant wavelet coefficients. At the receiver, based on the same pitch detection method, the embedding position is found and the hiding bit is recovered. The secret speech can be received after MELP decoding. The experiments show that the method is strongly robust to many attacks such as compression, filter and so on.
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© 2004 Springer-Verlag Berlin Heidelberg
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Shen, L., Li, X., Wang, H., Zhang, R. (2004). Speech Hiding Based on Auditory Wavelet. In: Laganá, A., Gavrilova, M.L., Kumar, V., Mun, Y., Tan, C.J.K., Gervasi, O. (eds) Computational Science and Its Applications – ICCSA 2004. ICCSA 2004. Lecture Notes in Computer Science, vol 3046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24768-5_44
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DOI: https://doi.org/10.1007/978-3-540-24768-5_44
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