ISCA Archive ICSLP 2000
ISCA Archive ICSLP 2000

A priori threshold selection for fixed vocabulary speaker verification systems

Arun C. Surendran, Chin-Hui Lee

A priori threshold selection is an important problem in practical speaker verification (SV) systems. Most earlier empirical methods for estimating prior thresholds assume availability of data from impostors i.e. speakers saying the same phrase as the desired speaker. While this is true for most databases available for research, it is not so in practice. In this paper,we present a novel prior threshold selection mechanism that uses the distributions of the "units" of the pass phrase rather than the entire phrase. Hence the new approach does not need imposter data and provides flexibility and adaptability to the system. We demonstrate the effectiveness of our new idea in a connected-digit based SV system.


Cite as: Surendran, A.C., Lee, C.-H. (2000) A priori threshold selection for fixed vocabulary speaker verification systems. Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000), vol. 2, 246-249

@inproceedings{surendran00_icslp,
  author={Arun C. Surendran and Chin-Hui Lee},
  title={{A priori threshold selection for fixed vocabulary speaker verification systems}},
  year=2000,
  booktitle={Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000)},
  pages={vol. 2, 246-249}
}