A retrieval method for encrypted speech based on improved power normalized cepstrum coefficients and perceptual hashing

doi:10.1007/s11042-022-12560-5

IR > 计算机与通信学院

	A retrieval method for encrypted speech based on improved power normalized cepstrum coefficients and perceptual hashing
	Zhang, Qiu-yu; Bai, Jian; Xu, Fu-jiu
	2022-05
发表期刊	Multimedia Tools and Applications
ISSN	1380-7501
卷号	81 期号:11 页码:15127-15151
摘要	In order to improve the impact of noise on the robustness and discrimination of the speech perceptual hashing scheme, improve retrieval efficiency and retrieval accuracy, and protect the privacy of the cloud speech data, a retrieval method for encrypted speech based on improved power normalized cepstrum coefficients (PNCC) and perceptual hashing was proposed in the paper. Firstly, the original speech was encrypted by Henon chaotic map inter-frame scrambling encryption algorithm before uploading to the encrypted speech library in cloud server. Secondly, the discrete wavelet transform (DWT) and first-order difference coefficient were used to improve the PNCC feature extraction algorithm to extract speech features, and the principal component analysis (PCA) was used to reduce high-dimensional audio features to one dimension to form frame features that can represent the speech segment. Finally, the frame features are constructed as binary hashing sequences using hash functions and upload it to the system hashing index table in the cloud. When the user retrieves, the hashing sequence of query speech is extracted and matched with the encrypted speech features by normalized hamming distance in the cloud system hashing index table to obtain the retrieval result. Experimental results show that compared with the existing methods, the proposed method has good robustness and discrimination, and improves retrieval efficiency and retrieval accuracy, the security of cloud speech data is improved. In addition, the proposed method has good recognition ability under simulated real noise environment. © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
关键词	Authentication Chaotic systems Discrete wavelet transforms Efficiency Extraction Hamming distance Hash functions Information retrieval Principal component analysis Speech Cepstrum Chaotic mapping Encrypted speech Encrypted speech retrieval Features extraction Henon chaotic mapping Perceptual hashing Power Power normalized cepstrum coefficient Speech feature extraction Speech features Speech retrieval
DOI	10.1007/s11042-022-12560-5
收录类别	EI ; SCIE
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号	WOS:000769532100001
出版者	Springer
EI入藏号	20220911716263
EI主题词	Feature extraction
EI分类号	723 Computer Software, Data Handling and Applications ; 751.5 Speech ; 802.3 Chemical Operations ; 903.3 Information Retrieval and Use ; 913.1 Production Engineering ; 921.3 Mathematical Transformations ; 922.2 Mathematical Statistics ; 961 Systems Science
来源库	WOS
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/158417
专题	计算机与通信学院
通讯作者	Zhang, Qiu-yu
作者单位	Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou 730050, Peoples R China
第一作者单位	兰州理工大学
通讯作者单位	兰州理工大学
第一作者的第一单位	兰州理工大学
推荐引用方式 GB/T 7714	Zhang, Qiu-yu,Bai, Jian,Xu, Fu-jiu. A retrieval method for encrypted speech based on improved power normalized cepstrum coefficients and perceptual hashing[J]. Multimedia Tools and Applications,2022,81(11):15127-15151.
APA	Zhang, Qiu-yu,Bai, Jian,&Xu, Fu-jiu.(2022).A retrieval method for encrypted speech based on improved power normalized cepstrum coefficients and perceptual hashing.Multimedia Tools and Applications,81(11),15127-15151.
MLA	Zhang, Qiu-yu,et al."A retrieval method for encrypted speech based on improved power normalized cepstrum coefficients and perceptual hashing".Multimedia Tools and Applications 81.11(2022):15127-15151.