An Efficient Speech Perceptual Hashing Authentication Algorithm Based on Wavelet Packet Decomposition
نویسندگان
چکیده
In this paper, we present a new speech perceptual hashing authentication algorithm based on wavelet packet decomposition (WPD) for speech content authentication. Firstly, a wavelet packet coefficients matrix of wavelet reconstruction is generated from an original speech signal after high frequency pre-processing followed by wavelet packet decomposition. Secondly, the wavelet packet coefficients matrix is partitioned into equal-sized sub-matrixes, and each sub-matrix is converted into new sub-matrixes by two-dimensional discrete cosine transform (DCT) resulting in good decorrelation and energy compaction. Finally, the feature parameter matrix is obtained by QR Decomposition (QRD) using a Givens Rotation (GR) with the new sub-matrixes. The experiment results illustrate that the proposed algorithm was very robust in content preserving operations, had a very low hash bit rate, and can meet the requirements of real-time speech authentication with high certification efficiency.
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