The Mitll Nist Lre 2009 Language Recognition System

Acoustics Speech and Signal Processing(2010)

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摘要
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.
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关键词
audio recording,natural language processing,speech recognition,MIT Lincoln Laboratory language recognition system,MITLL NIST LRE 2009,Voice of America,closed set detection task,conversational telephone speech,core recognizer,language recognition system,narrowband segment,open set detection task,tokenization based spectral similarity
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