An efficient perceptual hashing based on improved spectral entropy for speech authentication

doi:10.1007/s11042-017-4381-y

IR > 计算机与通信学院

	An efficient perceptual hashing based on improved spectral entropy for speech authentication
	Zhang, Qiu-yu1 ; Hu, Wen-jin 1; Huang, Yi-bo 2; Qiao, Si-bin 1
	2018-01
发表期刊	MULTIMEDIA TOOLS AND APPLICATIONS
ISSN	1380-7501
卷号	77 期号:2 页码:1555-1581
摘要	Combined with the linear prediction-minimum mean squared error (LP-MMSE), an efficient perceptual hashing algorithm based on improved spectral entropy for speech authentication was proposed in this paper. The linear prediction analysis is conducted on speech signal after preprocessing, framing and adding windows, and obtained the minimum mean squared error coefficient matrix. And then, the spectral entropy parameter matrix of each frame is calculated by using improved spectral entropy method. And the final binary perceptual hashing sequence is generated based on the above two matrices, and the speech authentication is completed. Comparing the experimental results of combining the Teager energy operator (TEO) with the linear predictive coefficients (LPC), LP-MMSE and line spectrum pair (LSP) coefficient respectively, it can be seen that the proposed algorithm had a good compromise between robustness, discrimination and authentication efficiency, and the proposed algorithm can meet the requirement of real-time speech authentication in speech communication. Experimental results show that the proposed algorithm was better than other existing methods in compactness.
关键词	Speech authentication Perceptual hashing Improved spectral entropy Linear prediction-minimummean squared error (LP-MMSE) Teager energy operator Sub-band spectral line
DOI	10.1007/s11042-017-4381-y
收录类别	SCI ; SCIE
语种	英语
资助项目	Natural Science Foundation of Gansu Province of China[1310RJYA004]
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:000422790400004
出版者	SPRINGER
EI入藏号	20170403270031
EI主题词	Spectrum analysis
EI分类号	723 Computer Software, Data Handling and Applications - 751.5 Speech - 921.1 Algebra - 922.2 Mathematical Statistics
引用统计	被引频次：11[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/32904
专题	计算机与通信学院
通讯作者	Zhang, Qiu-yu
作者单位	1.Lanzhou Univ Technol, Sch Comp & Commun, 287,Lan Gong Ping Rd, Lanzhou 730050, Gansu, Peoples R China; 2.Northwest Normal Univ, Coll Phys & Elect Engn, Lanzhou 730070, Gansu, 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,Hu, Wen-jin,Huang, Yi-bo,et al. An efficient perceptual hashing based on improved spectral entropy for speech authentication[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2018,77(2):1555-1581.
APA	Zhang, Qiu-yu,Hu, Wen-jin,Huang, Yi-bo,&Qiao, Si-bin.(2018).An efficient perceptual hashing based on improved spectral entropy for speech authentication.MULTIMEDIA TOOLS AND APPLICATIONS,77(2),1555-1581.
MLA	Zhang, Qiu-yu,et al."An efficient perceptual hashing based on improved spectral entropy for speech authentication".MULTIMEDIA TOOLS AND APPLICATIONS 77.2(2018):1555-1581.

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