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I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences

Kong Aik Lee 1 Ville Hautamäki 2 Tomi Kinnunen 2 Hitoshi Yamamoto 3 Koji Okabe 3 Ville Vestman 2, 3 Jing Huang 4 Guohong Ding 4 Hanwu Sun 1 Anthony Larcher 5 Rohan Kumar Das 6 Haizhou Li 6 Mickaël Rouvier 7 Pierre-Michel Bousquet Bousquet 7 Wei Rao 8 Qing Wang 9 Chunlei Zhang 10 Fahimeh Bahmaninezhad 11 Héctor Delgado 12 Jose Patino 12 Qiongqiong Wang 3 Ling Guo 3 Takafumi Koshinaka 3 Jiacen Zhang 3 Koichi Shinoda 3 Trung Ngo Trong 2 Md Sahidullah 13, 2 Fan Lu 14 Yun Tang 14 Ming Tu 14 Kah Kuan Teh 1 Huy Dat Tran 1 Kuruvachan K George 1 Ivan Kukanov 1 Florent Desnous 5 Jichen Yang 6 Emre Yilmaz 6 Longting Xu 6 Jean-François Bonastre 7 Chenglin Xu 8 Zhi Hao Lim 8 Siong Chng 8 Shivesh Ranjan 11 John H. L. Hansen 11 Massimiliano Todisco 12 Nicholas Evans 12 
Abstract : The I4U consortium was established to facilitate a joint entry to NIST speaker recognition evaluations (SRE). The latest edition of such joint submission was in SRE 2018, in which the I4U submission was among the best-performing systems. SRE'18 also marks the 10-year anniversary of I4U consortium into NIST SRE series of evaluation. The primary objective of the current paper is to summarize the results and lessons learned based on the twelve subsystems and their fusion submitted to SRE'18. It is also our intention to present a shared view on the advancements, progresses, and major paradigm shifts that we have witnessed as an SRE participant in the past decade from SRE'08 to SRE'18. In this regard, we have seen, among others , a paradigm shift from supervector representation to deep speaker embedding, and a switch of research challenge from channel compensation to domain adaptation.
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Submitted on : Friday, July 5, 2019 - 9:15:26 AM
Last modification on : Friday, September 30, 2022 - 11:40:09 AM


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Kong Aik Lee, Ville Hautamäki, Tomi Kinnunen, Hitoshi Yamamoto, Koji Okabe, et al.. I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences. [Research Report] I4U Consortium. 2019. ⟨hal-02174317⟩



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