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This work provides a brief description of Human Language Technology (HLT)Laboratory, National University of Singapore (NUS) system submission for 2020NIST conversational telephone speech (CTS) speaker recognition evaluation(SRE). The challenge focuses on evaluation under CTS data containingmultilingual speech. The systems developed at HLT-NUS consider time-delayneural network (TDNN) x-vector and ECAPA-TDNN systems. We also perform domainadaption of probabilistic linear discriminant analysis (PLDA) model andadaptive s-norm on our systems. The score level fusion of TDNN x-vector andECAPA-TDNN systems is carried out, which improves the final system performanceof our submission to 2020 NIST CTS SRE.

HLT-NUS SUBMISSION FOR 2020 NIST Conversational Telephone Speech SRE