10th Annual Conference of the International Speech Communication Association

Brighton, United Kingdom
September 6-10, 2009

LS Regularization of Group Delay Features for Speaker Recognition

Jia Min Karen Kua (1), Julien Epps (1), Eliathamby Ambikairajah (1), Eric Choi (2)

(1) University of New South Wales, Australia
(2) National ICT Australia, Australia

Due to the increasing use of fusion in speaker recognition systems, features that are complementary to MFCCs offer opportunities to advance the state of the art. One promising feature is based on group delay, however this can suffer large variability due to its numerical formulation. In this paper, we investigate reducing this variability in group delay features with least squares regularization. Evaluations on the NIST 2001 and 2008 SRE databases show a relative improvement of at least 6% and 18% EER respectively when group delay-based system is fused with MFCC-based system.

Full Paper

Bibliographic reference.  Kua, Jia Min Karen / Epps, Julien / Ambikairajah, Eliathamby / Choi, Eric (2009): "LS regularization of group delay features for speaker recognition", In INTERSPEECH-2009, 2887-2890.