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
TL;DR
This paper details the THUEE system submissions for the NIST 2019 SRE CTS Challenge, highlighting six subsystems developed for speaker recognition evaluation.
Contribution
It introduces six novel subsystems designed specifically for the NIST 2019 speaker recognition challenge.
Findings
Six subsystems developed for the NIST 2019 SRE CTS Challenge
Subsystems include etdnn/ams, ftdnn/as, eftdnn/ams, resnet, multitask, c-vector
Systems contributed to the evaluation's progress
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.
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Taxonomy
TopicsSpeech Recognition and Synthesis · Speech and Audio Processing · Music and Audio Processing