Graduate School and Research Center in Digital Sciences

I4U submission to NIST SRE 2018: Leveraging from a decade of shared experiences

Lee, Kong Aik; Hautamaki, Ville; Kinnunen, Tomi; Todisco, Massimiliano; Evans, Nick et al.

Submitted to ArXiv on April, 16th 2019

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 sub-systems 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.

Hal Bibtex

Title:I4U submission to NIST SRE 2018: Leveraging from a decade of shared experiences
Keywords:speaker recognition, benchmark evaluation
Type:Report
Language:English
City:
Date:
Department:Digital Security
Eurecom ref:5864
Copyright: © EURECOM. Personal use of this material is permitted. The definitive version of this paper was published in Submitted to ArXiv on April, 16th 2019 and is available at :
Bibtex: @techreport{EURECOM+5864, year = {2019}, title = {{I}4{U} submission to {NIST} {SRE} 2018: {L}everaging from a decade of shared experiences}, author = {{L}ee, {K}ong {A}ik and {H}autamaki, {V}ille and {K}innunen, {T}omi and {T}odisco, {M}assimiliano and {E}vans, {N}ick et al.}, number = {EURECOM+5864}, month = {04}, institution = {Eurecom}, url = {http://www.eurecom.fr/publication/5864},, }
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