By Haizhou Li, Kar-Ann Toh, Liyuan Li
Biometrics is the learn of tools for uniquely spotting people according to a number of intrinsic actual or behavioral qualities. After a long time of analysis actions, biometrics, as a well-known medical self-discipline, has complex significantly either in functional expertise and theoretical discovery to satisfy the expanding want of biometric deployments. during this publication, the editors offer either a concise and obtainable advent to the sector in addition to an in depth insurance at the designated learn issues of their ideas in a large spectrum of biometrics examine starting from voice, face, fingerprint, iris, handwriting, human habit to multimodal biometrics. The contributions additionally current the pioneering efforts and state of the art effects, with designated concentrate on sensible matters touching on approach improvement. This ebook is a beneficial reference for validated researchers and it additionally offers an outstanding creation for newbies to appreciate the demanding situations.
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Extra info for Advanced Topics In Biometrics
Hence, the mismatch between the test utterance and normalization utterances can be avoided. In the H-norm, handset-microphone-dependent values of the bias and scale factors are estimated, therefore, the normalization is carried out with regard to the test condition instead of the speaker. 7 Performance Measurement The NIST has conducted a series of SREs since 1996. The goal of the NIST SRE is to contribute to the direction of research eﬀorts and the calibration of technical capabilities of text-independent speaker recognition.
Higher levels may include semantic and syntactic information, and lower levels may specify lexical and segmental information. At the lowest level, a segment, or more commonly, a phoneme, is a speech unit such as the consonant /t/ or the vowel /aa/. A segment is speciﬁed in an eﬃcient manner by a set of distinctive features, or simply, features, which describe the characteristics of the segment (Fant, 1973; Halle, 1992). These abstract linguistic units termed segments have been found to have corresponding landmarks in the speech signal, which indicate when and how a segment has been produced.
The 2008 NIST speaker recognition evaluation plan, http://www. gov/iad/mig/tests/sre/2008/sre08 evalplan release4. pdf. Parthasarathy, S. and Rosenberg, A. E. General phrase speaker veriﬁcation using sub-word background models and likelihood ratio scoring, in Proc. ICASSP, pp. 2403–2406, 1996. Pelecanos, J. and Sridharan, S. Feature warping for robust speaker veriﬁcation, in Proc. Odyssey, pp. 213–218, 2001. Rabiner, L. R. -H. Fundamental of Speech Recognition (Prentice-Hall, Englewood Cliﬀs), 1993.
Advanced Topics In Biometrics by Haizhou Li, Kar-Ann Toh, Liyuan Li