Remote speaker recognition based on the enhanced LDV-captured speech

doi:10.1016/j.apacoust.2018.08.007

CIOMP OpenIR

	Remote speaker recognition based on the enhanced LDV-captured speech
	Peng, Shuping1 ; Lv, Tao 2; Han, Xiyu 2; Wu, Shisong2 ; Yan, Chunhui 2; Zhang, Heyong2
	2019
发表期刊	APPLIED ACOUSTICS
ISSN	0003-682X
卷号	143 页码:165-170
通讯作者	Lv, Tao(18767120269@163.com)
摘要	Speaker recognition technique is one of the popular biometric identification technology, which identifies the speaker's identity based on the speaker's voice. Whereas almost all speaker verification system shows poor performance when the system and speaker are far apart. To address the challenges of remote speaker recognition, a Laser Doppler Vibrometer (LDV) is used to recognize remote speaker. In this paper, three LDV speech corpuses, each consists of 50 speakers, are collected from the vibrations of a plastic bag, a mineral water bottle and a computer screen, using the LDV developed by us. The distance from the LDV sensor to the vibration targets is approximately 50 m. In order to improve the quality of the LDV-captured speech, the speech enhancement technology based on optimally modified log-spectral amplitude (OM-LSA) algorithm is used. According to the enhanced LDV-captured speech, a GMM-UBM model is built to recognize remote speaker. The experiment results show that the average EER using LDV-captured speech is 16.9590%. These results show great promise of using LDV for long range speaker recognition applications. (C) 2018 Published by Elsevier Ltd.
关键词	Laser Doppler Vibrometer Remote acoustic detection Speaker recognition
DOI	10.1016/j.apacoust.2018.08.007
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61205143] ; National Natural Science Foundation of China[61205143]
项目资助者	National Natural Science Foundation of China
WOS研究方向	Acoustics
WOS类目	Acoustics
WOS记录号	WOS:000449138700017
出版者	ELSEVIER SCI LTD
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/60380
专题	中国科学院长春光学精密机械与物理研究所
通讯作者	Lv, Tao
作者单位	1.Zhejiang Univ Technol, Hangzhou 310014, Zhejiang, Peoples R China 2.Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, State Key Lab Laser Interact Matter, Changchun 130033, Jilin, Peoples R China
推荐引用方式 GB/T 7714	Peng, Shuping,Lv, Tao,Han, Xiyu,et al. Remote speaker recognition based on the enhanced LDV-captured speech[J]. APPLIED ACOUSTICS,2019,143:165-170.
APA	Peng, Shuping,Lv, Tao,Han, Xiyu,Wu, Shisong,Yan, Chunhui,&Zhang, Heyong.(2019).Remote speaker recognition based on the enhanced LDV-captured speech.APPLIED ACOUSTICS,143,165-170.
MLA	Peng, Shuping,et al."Remote speaker recognition based on the enhanced LDV-captured speech".APPLIED ACOUSTICS 143(2019):165-170.