A speech perceptual hash algorithm in compression domain is proposed in this paper. Speech coded at very low bitrate requires hash algorithm with high compactness and robustness. LSF could model the changing shape of the speaker vocal tract and is the intermediate result of partial decoding. They are used to generate hash value. The proposed method satisfies the robustness and discrimination requirement of perceptual hash with very low hash bitrate. It is also a computational efficient algorithm which could be applied to scenarios with power restriction or real-time communication requirement.
['Yuhua Jiao', 'Qiong Li', 'Xiamu Niu']
Compressed Domain Perceptual Hashing for MELP Coded Speech