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Title: A novel text-independent speaker verification method based on the global speaker model
Authors: Zhang, Y
Zhang, DD 
Zhu, X
Keywords: Biometrics
Equal error rate
Global speaker model
Speaker verification
Issue Date: Sep-2000
Publisher: IEEE
Source: IEEE transactions on systems, man, and cybernetics. Part A, Systems and humans, Sept. 2000, v. 30, no. 5, p. 598-602 How to cite?
Journal: IEEE transactions on systems, man, and cybernetics. Part A, Systems and humans 
Abstract: This correspondence introduces a new text-independent speaker verification method, which is derived from the basic idea of pattern recognition that the discriminating ability of a classifier can be improved by removing the common information between classes. In looking for the common speech characteristics between a group of speakers, a global speaker model can be established. By subtracting the score acquired from this model, the conventional likelihood score is normalized with the consequence of more compact score distribution and lower equal error rates. Several experiments are carried out to demonstrate the effectiveness of the proposed method.
ISSN: 1083-4427
DOI: 10.1109/3468.867867
Rights: © 2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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