ROBUST SPEECH PERCEPTUAL HASHING ALGORITHM BASED ON LINEAR PREDICATION RESIDUAL OF G.729 SPEECH CODEC

Qiuyu Zhang; Zhongping Yang; Yibo Huang; Shuang Yu; Zhanwei Ren

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ROBUST SPEECH PERCEPTUAL HASHING ALGORITHM BASED ON LINEAR PREDICATION RESIDUAL OF G.729 SPEECH CODEC

机译：基于G.729语音编解码器线性预测残差的鲁棒语音感知散列算法

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摘要

In this paper, in order to meet the requirements of speech authentication for low amount of data and low complexity in the bandwidth resource-limited speech communication environment, we present a new robust perceptual audio hashing algorithm combined with the G. 729 coding standards. This algorithm extracts the linear prediction residual (LPR) as feature of speech perceptual in the processing of the G. 729 speech codec, and extracts the perceptual hash values. The experimental results illustrate the effectiveness of the proposed algorithm in terms of better robustness and discrimination to common speech transmission operation, low time complexity and high efficiency of the proposed algorithm as well, and it can effectively distinguish between the permissible operating and malicious tampering. In the meantime, it has a higher precision for tamper localization.

机译：为了满足带宽资源有限的语音通信环境中数据量少，复杂度低的要求，本文提出了一种结合G.729编码标准的鲁棒感知音频哈希算法。该算法提取G.729语音编解码器处理过程中作为语音感知特征的线性预测残差（LPR），并提取感知哈希值。实验结果表明，该算法具有较好的鲁棒性和对普通语音传输操作的辨别力，较低的时间复杂度和较高的效率，可以有效区分允许的操作和恶意篡改。同时，它具有更高的篡改定位精度。

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来源
《International Journal of Innovative Computing Information and Control》 |2015年第6期|2159-2175|共17页
作者
Qiuyu Zhang; Zhongping Yang; Yibo Huang; Shuang Yu; Zhanwei Ren;
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作者单位

School of Computer and Communication Lanzhou University of Technology No. 287, Langongping Road, Lanzhou 730050, P. R. China;

School of Computer and Communication Lanzhou University of Technology No. 287, Langongping Road, Lanzhou 730050, P. R. China;

College of Physics and Electronic Engineering Northwest Normal University No. 967, Anning East Road, Lanzhou 730070, P. R. China;

School of Computer and Communication Lanzhou University of Technology No. 287, Langongping Road, Lanzhou 730050, P. R. China;

School of Computer and Communication Lanzhou University of Technology No. 287, Langongping Road, Lanzhou 730050, P. R. China;

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正文语种 eng
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关键词
Speech authentication; Perceptual hashing; G.729 codec; Linear prediction residual; Tamper localization;

机译：语音认证;感知哈希G.729编解码器;线性预测残差;篡改本地化;

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专利

1. RESEARCH ON ALGORITHM OF ROBUST SPEECH PERCEPTUAL HASHING FOR TIME-FREQUENCY DOMAIN BASED ON HILBERT TRANSFORM [J] . Qiuyu Zhang, Zhongping Yang, Qianyun Zhang, International Journal of Innovative Computing Information and Control . 2015,第4期

机译：基于希尔伯特变换的时频域鲁棒语音感知散列算法研究
2. Efficient Robust Speech Authentication Algorithm for Perceptual Hashing Based on Hilbert-Huang Transform [J] . Qiuyu Zhang, Zhongping Yang, Yibo Huang, Journal of information and computational science . 2014,第18期

机译：基于希尔伯特-黄变换的有效鲁棒语音认证算法
3. An encrypted speech retrieval algorithm based on Chirp-Z transform and perceptual hashing second feature extraction [J] . Qiu-yu Zhang, Zi-xian Ge, Ying-jie Hu, Multimedia Tools and Applications . 2020,第9a10期

机译：基于Chirp-Z变换和感知散列第二特征提取的加密语音检索算法
4. An efficient fixed codebook search for G.729 speech codec derived from RCM-based search algorithm [C] . Yeh Cheng-Yu IEEE China Summit International Conference on Signal and Information Processing . 2014

机译：从基于RCM的搜索算法派生的G.729语音编解码器的高效固定码本搜索
5. Implementation of ITU-T G.729 speech codec. [D] . Banerjee, Mithun. 2004

机译：ITU-T G.729语音编解码器的实现。
6. Nonlinear speech analysis algorithms mapped to a standard metric achieve clinically useful quantification of average Parkinsons disease symptom severity [O] . Athanasios Tsanas, Max A. Little, Patrick E. McSharry, 2011

机译：映射到标准度量的非线性语音分析算法可实现帕金森氏病症状平均严重程度的临床有用量化
7. Strong Robustness Hash Algorithm of Speech Perception Based on Tensor Decomposition Model [O] . Yibo Huang, QiuYu Zhang 2016

机译：基于张量分解模型的语音感知强大鲁棒性哈希算法
8. Algorithms for Speech Coding Systems Based on Linear Prediction [R] . Rooijackers, J. E. 1992

机译：基于线性预测的语音编码系统算法

ROBUST SPEECH PERCEPTUAL HASHING ALGORITHM BASED ON LINEAR PREDICATION RESIDUAL OF G.729 SPEECH CODEC

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