作者: Pedro A Torres-Carrasquillo , Elliot Singer , Terry Gleason , Alan McCree , Douglas A Reynolds
DOI: 10.1109/ICASSP.2010.5495080
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摘要: This paper presents a description of the MIT Lincoln Laboratory language recognition system submitted to NIST 2009 Language Recognition Evaluation (LRE). consists fusion three core recognizers, two based on spectral similarity and one tokenization. The LRE differed from previous ones in that test data included narrowband segments worldwide Voice America broadcasts as well conventional recorded conversational telephone speech. Results are presented for 23-language closed-set open-set detection tasks at 30, 10, 3 second durations along with discussion language-pair task. On 30 closed set task, achieved 1.64 average error rate.