I4U System Description for NIST SRE'20 CTS Challenge

• URL: http://arxiv.org/abs/2211.01091v1
• Date: Wed, 2 Nov 2022 13:04:27 GMT
• Title: I4U System Description for NIST SRE'20 CTS Challenge
• Authors: Kong Aik Lee, Tomi Kinnunen, Daniele Colibro, Claudio Vair, Andreas Nautsch, Hanwu Sun, Liang He, Tianyu Liang, Qiongqiong Wang, Mickael Rouvier, Pierre-Michel Bousquet, Rohan Kumar Das, Ignacio Vi\~nals Bailo, Meng Liu, H\'ector Deldago, Xuechen Liu, Md Sahidullah, Sandro Cumani, Boning Zhang, Koji Okabe, Hitoshi Yamamoto, Ruijie Tao, Haizhou Li, Alfonso Ortega Gim\'enez, Longbiao Wang, Luis Buera
• Abstract summary: This manuscript describes the I4U submission to the 2020 NIST Speaker Recognition Evaluation (SRE'20) Conversational Telephone Speech (CTS) Challenge. The I4U's submission was resulted from active collaboration among eight research teams. The submission was based on the fusion of top performing sub-systems and sub-fusion systems contributed by individual teams.
• Score: 87.17861348484455
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: This manuscript describes the I4U submission to the 2020 NIST Speaker Recognition Evaluation (SRE'20) Conversational Telephone Speech (CTS) Challenge. The I4U's submission was resulted from active collaboration among researchers across eight research teams - I$^2$R (Singapore), UEF (Finland), VALPT (Italy, Spain), NEC (Japan), THUEE (China), LIA (France), NUS (Singapore), INRIA (France) and TJU (China). The submission was based on the fusion of top performing sub-systems and sub-fusion systems contributed by individual teams. Efforts have been spent on the use of common development and validation sets, submission schedule and milestone, minimizing inconsistency in trial list and score file format across sites.

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