The BLZ Systems for the 2011 NIST Language Recognition Evaluation

This paper briefly describes the language recognition systems developed for the 2011 NIST Language Recognition Evaluation (LRE) by the BLZ (Bilbao-Lisboa-Zaragoza) team, a threesite joint including GTTS from the University of the Basque Country (Spain), L 2 F (Spoken Language Systems Lab) from INESC-ID Lisboa (Portugal) and I3A from the University of Zaragoza (Spain). The primary system fuses 8 (3 acoustic + 5 phonotactic) subsystems: a Linearized Eigenchannel GMM (LE-GMM) subsystem, a JFA subsystem, an iVector subsystem, three Phone-SVM subsystems using the Brno University of Technology phone decoders for Czech, Hungarian and Russian, and two Phone-SVM subsystems using the L 2 F phone decoders for European Portuguese and Brazilian Portuguese. Gaussian backends and multiclass fusion have been applied to get the final scores. Three contrastive systems have been also submitted, featuring: (1) the fusion of the whole set of 13 (6 acoustic + 7 phonotactic) subsystems; (2) the fusion of 3 subsystems, for the combination of one subsystem per site yielding the best performance on development data; and (3) the fusion of the same 8 subsystems used in the primary system under a different configuration.

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