arXiv Open Access 2021

HLT-NUS SUBMISSION FOR 2020 NIST Conversational Telephone Speech SRE

Rohan Kumar Das Ruijie Tao Haizhou Li

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Abstrak

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.

Topik & Kata Kunci

eess.AS eess.SP

Penulis (3)

Rohan Kumar Das

Ruijie Tao

Haizhou Li

Format Sitasi

APA MLA BibTeX

Das, R.K., Tao, R., Li, H. (2021). HLT-NUS SUBMISSION FOR 2020 NIST Conversational Telephone Speech SRE. https://arxiv.org/abs/2111.06671

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Informasi Jurnal

Tahun Terbit: 2021
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓