English

I4U System Description for NIST SRE'20 CTS Challenge

Audio and Speech Processing 2022-11-03 v1 Artificial Intelligence Sound

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 - I2^2R (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.

Cite

@article{arxiv.2211.01091,
  title  = {I4U System Description for NIST SRE'20 CTS Challenge},
  author = {Kong Aik Lee and Tomi Kinnunen and Daniele Colibro and Claudio Vair and Andreas Nautsch and Hanwu Sun and Liang He and Tianyu Liang and Qiongqiong Wang and Mickael Rouvier and Pierre-Michel Bousquet and Rohan Kumar Das and Ignacio Viñals Bailo and Meng Liu and Héctor Deldago and Xuechen Liu and Md Sahidullah and Sandro Cumani and Boning Zhang and Koji Okabe and Hitoshi Yamamoto and Ruijie Tao and Haizhou Li and Alfonso Ortega Giménez and Longbiao Wang and Luis Buera},
  journal= {arXiv preprint arXiv:2211.01091},
  year   = {2022}
}

Comments

SRE 2021, NIST Speaker Recognition Evaluation Workshop, CTS Speaker Recognition Challenge, 14-12 December 2021

R2 v1 2026-06-28T05:00:43.419Z