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- W2398157071 abstract "This paper is dedicated to the participation of the LIA laboratory in NIST-SRE’10 evaluation campaign. LIA submitted three system for the core-core task of the evaluation. These systems are combinations of three sub-systems which are also described in this paper. Two of these systems are based on the well known GMM-UBM paradigm as the third one is a GMM-SVM engine All LIA systems include Latent Factor Analysis (LFA) framework [1], [2] for session variability modelling in both training and testing phase. The same feature extraction algorithm is used for all systems. Development was performed on the 2008 evaluation. All LIA systems are mainly based on the open source ALIZE/MISTRAL toolkit [3]. SVM-based systems are using the LIB-SVM library [4]. Section 2 describes the feature extraction and frame selection process. In section 3, the world model training procedure is presented as well as the session variability modelling. The sub-systems combined to design the LIA submitted systems are described in Section 4. Finally, section 5 describes the combination of the sub-systems and gives some experimental results. Some perspectives are given in section 7." @default.
- W2398157071 created "2016-06-24" @default.
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- W2398157071 date "2010-06-01" @default.
- W2398157071 modified "2023-09-23" @default.
- W2398157071 title "LIA NIST-SRE'10 systems" @default.
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