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The MITLL NIST LRE 2009 language recognition system
By: Torres-Carrasquillo, P.A.; Sturim, D.; Richardson, F.; Reynolds, D.A.; McCree, A.; Gleason, T.; Singer, E.;
2010 / IEEE / 978-1-4244-4295-9
This item was taken from the IEEE Conference ' The MITLL NIST LRE 2009 language recognition system ' This paper presents a description of the MIT Lincoln Laboratory language recognition system submitted to the NIST 2009 Language Recognition Evaluation (LRE). This system consists of a fusion of three core recognizers, two based on spectral similarity and one based on tokenization. The 2009 LRE differed from previous ones in that test data included narrowband segments from worldwide Voice of America broadcasts as well as conventional recorded conversational telephone speech. Results are presented for the 23-language closed-set and open-set detection tasks at the 30, 10, and 3 second durations along with a discussion of the language-pair task. On the 30 second 23-language closed set detection task, the system achieved a 1.64 average error rate.
Tokenization Based Spectral Similarity
Voice Of America
Conversational Telephone Speech
Closed Set Detection Task
Support Vector Machines
Support Vector Machine Classification
Mit Lincoln Laboratory Language Recognition System
Language Recognition System
Mitll Nist Lre 2009
Open Set Detection Task
Natural Language Processing