HLT-NUS SUBMISSION FOR 2020 NIST Conversational Telephone Speech SRE
Rohan Kumar Das, Ruijie Tao, Haizhou Li
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- github.com/taoruijie/ecapatdnnOfficialIn paperpytorch★ 795
- github.com/taoruijie/ecapa-tdnnpytorch★ 795
- github.com/MindSpore-paper-code-2/code400/tree/main/EcapaTDNNmindspore★ 0
Abstract
This work provides a brief description of Human Language Technology (HLT) Laboratory, National University of Singapore (NUS) system submission for 2020 NIST conversational telephone speech (CTS) speaker recognition evaluation (SRE). The challenge focuses on evaluation under CTS data containing multilingual speech. The systems developed at HLT-NUS consider time-delay neural network (TDNN) x-vector and ECAPA-TDNN systems. We also perform domain adaption of probabilistic linear discriminant analysis (PLDA) model and adaptive s-norm on our systems. The score level fusion of TDNN x-vector and ECAPA-TDNN systems is carried out, which improves the final system performance of our submission to 2020 NIST CTS SRE.