NDLI: N-gram nearest neighbor algorithm for voice password system

Content Provider	IEEE Xplore Digital Library
Author	Wu Guo Zhao Zhang Yanhua Long Lirong Dai
Copyright Year	2010
Description	Author affiliation: iFly Speech Lab, Department of Electronic Engineering and Information Science, University of Science and Technology of China (USTC), China (Zhao Zhang; Yanhua Long; Lirong Dai) \|\| MOE-Microsoft Key Laboratory of Multimedia Computing and Communication, University of Science and Technology of China (USTC), China (Wu Guo)
Abstract	A specific issue in the voice password system is addressed in this paper: When the text content of target speaker's enrollment password has been already known by imposters, they can do a well-behaved impersonation using the same text content as the target speaker. This results in a much higher false acceptance than the traditional voice password system. N-gram based nearest neighbor algorithm is proposed here to improve the speaker detection accuracy. Furthermore, correlation coefficient is adopted as the distance measurement between two acoustic features instead of the traditional Euclidean distance. Experimental results show that the proposed method outperforms the DTW and GMM-UBM algorithms.
Starting Page	4438
Ending Page	4441
File Size	204489
Page Count	4
File Format	PDF
ISBN	9781424442959
ISSN	15206149
DOI	10.1109/ICASSP.2010.5495621
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Nearest neighbor searches Hidden Markov models Loudspeakers Neural networks Speaker recognition Speech Heuristic algorithms Euclidean distance Acoustic signal detection Books nearest neighbor speaker recognition dynamic time warping
Content Type	Text
Resource Type	Article

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