English

THUEE system description for NIST 2019 SRE CTS Challenge

Sound 2019-12-30 v1 Computation and Language Audio and Speech Processing

Abstract

This paper describes the systems submitted by the department of electronic engineering, institute of microelectronics of Tsinghua university and TsingMicro Co. Ltd. (THUEE) to the NIST 2019 speaker recognition evaluation CTS challenge. Six subsystems, including etdnn/ams, ftdnn/as, eftdnn/ams, resnet, multitask and c-vector are developed in this evaluation.

Cite

@article{arxiv.1912.11585,
  title  = {THUEE system description for NIST 2019 SRE CTS Challenge},
  author = {Yi Liu and Tianyu Liang and Can Xu and Xianwei Zhang and Xianhong Chen and Wei-Qiang Zhang and Liang He and Dandan song and Ruyun Li and Yangcheng Wu and Peng Ouyang and Shouyi Yin},
  journal= {arXiv preprint arXiv:1912.11585},
  year   = {2019}
}

Comments

This is the system description of THUEE submitted to NIST SRE 2019

R2 v1 2026-06-23T12:56:12.500Z