THUEE system description for NIST 2019 SRE CTS Challenge
Yi Liu, Tianyu Liang, Can Xu, Xianwei Zhang, Xianhong Chen, Wei-Qiang Zhang, Liang He, Dandan song, Ruyun Li, Yangcheng Wu, Peng Ouyang, Shouyi Yin
arXiv:1912.11585v1
Originality Synthesis-oriented
AI Analysis
This is an incremental system description for a domain-specific speaker recognition challenge.
The paper describes the THUEE system submitted to the NIST 2019 speaker recognition evaluation CTS challenge, detailing six subsystems developed for the task, but does not report specific results or performance numbers.
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.