Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/234
Title: A novel text-independent speaker verification method based on the global speaker model
Authors: Zhang, Yiying
Zhang, David D.
Zhu, Xiaoyan
Subjects: 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.
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.
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Type: Journal/Magazine Article
URI: http://hdl.handle.net/10397/234
DOI: 10.1109/3468.867867
ISSN: 1083-4427
Appears in Collections:COMP Journal/Magazine Articles

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