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The MITLL NIST LRE 2015 Language Recognition system
[Technical Report, Technical Paper]
MASSACHUSETTS INST OF TECH LEXINGTON
Pagination or Media Count:
In this paper we describe the most recent MIT Lincoln Laboratory language recognition system developed for the NIST 2015 Language Recognition Evaluation LRE. The submission features a fusion of five core classifiers, with most systems developed in the context of an i-vector framework. The 2015 evaluation presented new paradigms. First, the evaluation included fixed training and open training tracks for the first time second, language classification performance was measured across 6 language clusters using 20 language classes instead of an N-way language task and third, performance was measured across a nominal 3-30 second range. Results are presented for the average performance across the 6 language clusters for both the fixed and open training tasks. On the 6-cluster metric the Lincoln system achieved average costs of 0.173 and 0.168 for the fixed and open tasks respectively.
[A, Approved For Public Release]