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- W2585880254 abstract "This paper describes the LIA speaker recognition system developed for the Speaker Recognition Evaluation (SRE) campaign. Eight sub-systems are developed, all based on a state-of-the-art approach: i-vector/PLDA which represents the mainstream technique in text-independent speaker recognition. These sub-systems differ: on the acoustic feature extraction front-end (MFCC, PLP), at the i-vector extraction stage (UBM, DNN or two-feats posteriors) and finally on the data-shifting (IDVC, mean-shifting). The submitted system is a fusion at the score-level of these eight sub-systems." @default.
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- W2585880254 date "2016-12-15" @default.
- W2585880254 modified "2023-09-27" @default.
- W2585880254 title "LIA system description for NIST SRE 2016" @default.
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