I4U System Description for NIST SRE'20 CTS Challenge
This work addresses speaker recognition for security and communication applications, but it is incremental as it focuses on system fusion and coordination rather than novel methods.
The paper describes the I4U submission to the NIST SRE'20 CTS Challenge, which involved collaboration across eight research teams to fuse top-performing sub-systems, resulting in a system that tackled speaker recognition in conversational telephone speech.
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.