Title :
A novel text-independent speaker verification method based on the global speaker model
Author :
Yiying Zhang ; Zhang, Yiying ; Zhu, Xiaoyan
Author_Institution :
Dept. of Comput. Sci., Tsinghua Univ., Beijing, China
fDate :
9/1/2000 12:00:00 AM
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
Keywords :
pattern classification; speaker recognition; compact score distribution; discrimination ability; global speaker model; likelihood score; lower equal error rates; pattern recognition; text-independent speaker verification method; Computer science; Cyclic redundancy check; Error analysis; Government; Intelligent systems; Laboratories; Pattern recognition; Robustness; Speech; User-generated content;
Journal_Title :
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
DOI :
10.1109/3468.867867