NIST 2007 Language Recognition Evaluation: From the Perspective of IIR

This paper describes the Institute for Infocomm Research (IIR) system for the 2007 Language Recognition Evaluation (LRE) conducted by the National Institute of Standards and Technology (NIST). The submitted system is a fusion of multiple state-ofthe-art language classifiers using diversified discriminative language cues. We implemented several state-of-the-art algorithms using both phonotactic and acoustic features. We also investigated the system fusion and score calibration strategy to improve the performance of language recognition, and worked out a pseudo-key analysis approach to cross-validate the performance of the individual classifiers on the evaluation data. We achieve an equal-error-rate (EER) of 1.67 % on the close-set general language recognition test.