By Haizhou Li, Kar-Ann Toh, Liyuan Li
Biometrics is the examine of equipment for uniquely spotting people in line with a number of intrinsic actual or behavioral features. After many years of study actions, biometrics, as a well-known medical self-discipline, has complicated significantly either in functional expertise and theoretical discovery to fulfill the expanding want of biometric deployments. during this e-book, the editors offer either a concise and obtainable advent to the sphere in addition to an in depth insurance at the specific study issues of their strategies 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 distinctive specialize in sensible concerns touching on procedure improvement. This ebook is a helpful reference for proven researchers and it additionally provides a superb advent for newbies to appreciate the demanding situations.
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Extra info for Advanced Topics In Biometrics
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. 5in Advanced Topics in Biometrics Text-Independent Speaker Recognition b1057-ch01 29 Reynolds, D. A. Speaker identiﬁcation and veriﬁcation using Gaussian mixture models, Speech Communication 17, 1–2, 91–108, 1995.
Switchboard II and SRE04 data were used to train the speaker space with 300 speaker factors. For channel space training, telephone data from SRE04, SRE05, and SRE06 were used to train the telephone channel space (100 channel factors), microphone data from SRE05 and SRE06 to train the microphone channel space (50 channel factors), and the Mixer 5 interview data to train the interview channel space (50 channel factors). The channel factors for diﬀerent channel conditions were trained independently.
A development dataset was created for system fusion and threshold setting using SRE06 1conv4w (telephone data), SRE06 1convmic (microphone data), and Mixer 5 (interview data) datasets. There are only 6 speakers (3 males and 3 females) in the Mixer 5 dataset, with each speaker having 6 sessions, and each session having 9 recordings of around 30 minutes. Each Mixer 5 recording was split into 6 trials in the development dataset. A development dataset was created to cover the imposter and genuine trials of telephone-telephone, telephone-microphone, and interview-interview conditions, and imposter trials only for telephone-interview and interview-telephone conditions.
Advanced Topics In Biometrics by Haizhou Li, Kar-Ann Toh, Liyuan Li