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This paper describes the LIA speaker recognition system developed for theSpeaker Recognition Evaluation (SRE) campaign. Eight sub-systems are developed,all based on a state-of-the-art approach: i-vector/PLDA which represents themainstream technique in text-independent speaker recognition. These sub-systemsdiffer: on the acoustic feature extraction front-end (MFCC, PLP), at thei-vector extraction stage (UBM, DNN or two-feats posteriors) and finally on thedata-shifting (IDVC, mean-shifting). The submitted system is a fusion at thescore-level of these eight sub-systems.

LIA system description for NIST SRE 2016