Accession Number:

AD1033868

Title:

The MITLL NIST LRE 2015 Language Recognition system

Descriptive Note:

Technical Report

Corporate Author:

MASSACHUSETTS INST OF TECH LEXINGTON LEXINGTON United States

Report Date:

2016-02-05

Pagination or Media Count:

8.0

Abstract:

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.

Subject Categories:

  • Cybernetics
  • Linguistics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE