Compressed Domain Perceptual Hashing for MELP Coded Speech
Compressed Domain Perceptual Hashing for MELP Coded Speech
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DOI：
10.1109/iih-msp.2008.210
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发表时间：
2008-08
期刊：
影响因子：
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通讯作者：
Yuhua Jiao;Qiong Li;X. Niu
中科院分区：
文献类型：
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作者：
Yuhua Jiao;Qiong Li;X. Niu
提出了一种基于压缩域的语音感知散列算法。在很低的码率下编码的语音要求哈希算法具有很高的紧凑性和稳健性。LSF可以模拟说话人声道形状的变化，是部分解码的中间结果。它们用于生成哈希值。该方法以很低的哈希比特率满足了感知哈希的稳健性和区分性要求。它也是一种计算效率很高的算法，可以应用于有功率限制或实时通信要求的场景。
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.