Artificial Intelligence

Advanced Topics In Biometrics by Haizhou Li, Kar-Ann Toh, Liyuan Li

By Haizhou Li, Kar-Ann Toh, Liyuan Li

Biometrics is the examine of tools for uniquely spotting people in line with a number of intrinsic actual or behavioral characteristics. After many years of study actions, biometrics, as a famous medical self-discipline, has complex significantly either in sensible expertise and theoretical discovery to satisfy the expanding want of biometric deployments. during this publication, the editors offer either a concise and available advent to the sphere in addition to a close assurance at the detailed examine issues of their options in a large spectrum of biometrics study starting from voice, face, fingerprint, iris, handwriting, human habit to multimodal biometrics. The contributions additionally current the pioneering efforts and cutting-edge effects, with targeted specialize in useful concerns bearing on approach improvement. This e-book is a worthwhile reference for validated researchers and it additionally provides a superb advent for newbies to appreciate the demanding situations.

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Improved speaker verification through probabilistic subspace adaptation, in Proc. Eurospeech, pp. 2021–2024, 2003. , and Li, H. Speaker cluster based GMM tokenization for speaker recognition, in Proc. Interspeech, pp. 505–508, 2006. Matsui, T. and Furui, S. Concatenated phoneme models for text-variable speaker recognition, in Proc. ICASSP, pp. 391–394, 1993. Naik, J. , N. , and Doddington, G. R. Speaker verification over long distance telephone lines, in Proc. ICASSP, pp. 524–527, 1989. NIST (1996).

Text independent speaker identification, IEEE Signal Processing Magazine 11, 4, 18–32, 1994. Hermansky, H. Perceptual linear predictive (PLP) analysis of speech, J. Acoust. Soc. Am. 87, 1738–1752, 1990. , and Kohn, P. Rasta-PLP speech analysis technique, in Proc. ICASSP, pp. 1:121–124, 1992. , and Li, H. Robust speaker verification using short-time frequency with long-time window and fusion of multiresolutions, in Proc. Interspeech, pp. 1897–1900, 2008. 5in Advanced Topics in Biometrics b1057-ch01 B.

Landmarks are generally manifested as maxima/minima or discontinuities in the speech signal, and can be interpreted to yield a subset of distinctive features related to broad classes of articulation types, for example, vowels or consonants. Further acoustic correlates, or acoustic cues, for extracting the remaining distinctive features for the segment can be found around the landmarks (Stevens, 1998). 5in 32 Advanced Topics in Biometrics b1057-ch02 Jeung-Yoon Choi segment may be modified due to contextual effects (Chomsky and Halle, 1968).

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