The NIST SRE Summed Channel Speaker Recognition System

The NIST SRE Summed Channel Speaker Recognition System
Title:
The NIST SRE Summed Channel Speaker Recognition System
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Annual Conference of the International Speech Communication Association (Interspeech 2014)
Publication Date:
14 September 2014
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Abstract:
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.
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