13th Annual Conference of the International Speech Communication Association

Portland, OR, USA
September 9-13, 2012

The EHU Systems for the NIST 2011 Language Recognition Evaluation

Mikel Penagarikano, Amparo Varona, Luis Javier Rodriguez-Fuentes, Mireia Diez, German Bordel

GTTS, Department of Electricity and Electronics, ZTF/FCT, University of the Basque Country UPV/EHU, Leioa, Spain

This paper describes the systems developed by the Software Technologies Working Group of the University of the Basque Country (EHU) for the NIST 2011 Language Recognition Evaluation (LRE). One primary and three contrastive systems were submitted, all of them fusing five component subsystems: a Linearized Eigenchannel GMM (LE-GMM) subsystem, an iVector subsystem and three phone-lattice-SVM subsystems based on the publicly available BUT decoders for Czech, Hungarian an Russian. The four submitted systems were identical except for the backend approach and the development dataset used to estimate the backend and fusion parameters. Multiclass discriminative fusion was performed separately for each nominal duration. A development set was defined, including the evaluation sets of LRE07 and LRE09 and the development data provided by NIST for 9 additional languages in the 2011 campaign. The official results, which were among the best submitted to the evaluation, are presented and briefly discussed. Post-key analyses are also addressed in the paper, including the performance attained by component subsystems and a study of their contribution to fusion performance by means of a greedy selection procedure.

Index Terms: Spoken Language Recognition, NIST 2011 LRE, Gaussian Backend, Multiclass Discriminative Fusion

Full Paper

Bibliographic reference.  Penagarikano, Mikel / Varona, Amparo / Rodriguez-Fuentes, Luis Javier / Diez, Mireia / Bordel, German (2012): "The EHU systems for the NIST 2011 language recognition evaluation", In INTERSPEECH-2012, 2045-2048.