The Speech multi features fusion perceptual hash algorithm based on tensor decomposition

doi:10.1088/1757-899X/324/1/012046

CORC > 兰州理工大学 > 兰州理工大学

	The Speech multi features fusion perceptual hash algorithm based on tensor decomposition
	Huang, Y. B.1; Fan, M. H.1; Zhang, Q. Y.2
	2018
卷号	324
DOI	10.1088/1757-899X/324/1/012046
英文摘要	With constant progress in modern speech communication technologies, the speech data is prone to be attacked by the noise or maliciously tampered. In order to make the speech perception hash algorithm has strong robustness and high efficiency, this paper put forward a speech perception hash algorithm based on the tensor decomposition and multi features is proposed. This algorithm analyses the speech perception feature acquires each speech component wavelet packet decomposition. LPCC, LSP and ISP feature of each speech component are extracted to constitute the speech feature tensor. Speech authentication is done by generating the hash values through feature matrix quantification which use mid-value. Experimental results showing that the proposed algorithm is robust for content to maintain operations compared with similar algorithms. It is able to resist the attack of the common background noise. Also, the algorithm is highly efficiency in terms of arithmetic, and is able to meet the real-time requirements of speech communication and complete the speech authentication quickly.
会议录	2017 5TH INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING, MATERIALS SCIENCE AND CIVIL ENGINEERING
会议录出版者	IOP PUBLISHING LTD
会议录出版地	DIRAC HOUSE, TEMPLE BACK, BRISTOL BS1 6BE, ENGLAND
语种	英语
资助项目	National Nature Science Foundation of China[61363078] ; Natural Science Foundation of Gansu Province of China[1606RJYA274]
WOS研究方向	Engineering ; Materials Science
WOS记录号	WOS:000449671800046
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/36175]
专题	兰州理工大学
通讯作者	Huang, Y. B.
作者单位	1.Northwest Normal Univ, Coll Phys & Elect Engn, Lanzhou, Gansu, Peoples R China 2.Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Huang, Y. B.,Fan, M. H.,Zhang, Q. Y.. The Speech multi features fusion perceptual hash algorithm based on tensor decomposition[C]. 见:.