ISCA Archive Interspeech 2014
ISCA Archive Interspeech 2014

The NIST SRE summed channel speaker recognition system

Hanwu Sun, Bin Ma

This paper presents an improved speaker recognition system for the summed channel evaluation tasks in the 2008 NIST SRE (SRE08) with multiple summed-channel excerpts for speaker training and one summed-channel excerpt for testing. The system includes three main modules in which a hybrid speaker purification and clustering algorithm is adopted to segregate the summed-channel speech, a common speaker identification is proposed by mapping multiple summed-channel excerpts for a common speaker cluster, and the GMM-SVM-NAP algorithm is used for the speaker recognition system. The system achieves an overall EER of 7.82% for all the trials and 4.19% for English trials in the SRE08 3summed-summed task.

doi: 10.21437/Interspeech.2014-285

Cite as: Sun, H., Ma, B. (2014) The NIST SRE summed channel speaker recognition system. Proc. Interspeech 2014, 1111-1114, doi: 10.21437/Interspeech.2014-285

  author={Hanwu Sun and Bin Ma},
  title={{The NIST SRE summed channel speaker recognition system}},
  booktitle={Proc. Interspeech 2014},