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The I4U consortium was established to facilitate a joint entry to NISTspeaker recognition evaluations (SRE). The latest edition of such jointsubmission was in SRE 2018, in which the I4U submission was among thebest-performing systems. SRE'18 also marks the 10-year anniversary of I4Uconsortium into NIST SRE series of evaluation. The primary objective of thecurrent paper is to summarize the results and lessons learned based on thetwelve sub-systems and their fusion submitted to SRE'18. It is also ourintention to present a shared view on the advancements, progresses, and majorparadigm shifts that we have witnessed as an SRE participant in the past decadefrom SRE'08 to SRE'18. In this regard, we have seen, among others, a paradigmshift from supervector representation to deep speaker embedding, and a switchof research challenge from channel compensation to domain adaptation.

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