Title
Advanced Language Recognition using Cepstra and Phonotactics: MITLL System Performance on the NIST 2005 Language Recognition Evaluation
Abstract
This paper presents a description of the MIT Lincol n Laboratory submissions to the 2005 NIST Language Recognition Evaluation (LRE05). As was true in 2003, the 2005 submissions were combinations of core cepstral and phonotactic recognizers whose outputs were fused to generate final scores. For the 2005 evaluation, Lin coln Laboratory had five submissions built upon fused combinations of six core systems. Major improvements included the generation of phone streams using latt ices, SVM-based language models using lattice-derived phonotactics, and binary tree language models. In a ddition, a development corpus was assembled that was designed to test robustness to unseen languages and sources. La nguage recognition trends based on NIST evaluations conducted since 1996 show a steady improvement in language recognition performance.
Year
DOI
Venue
2006
10.1109/ODYSSEY.2006.248097
Odyssey
Keywords
DocType
Citations 
language model,nist,speech recognition,lattices,support vector machine,natural languages,support vector machines,system performance,speech,svm,binary tree,binary trees
Conference
17
PageRank 
References 
Authors
0.99
8
7
Name
Order
Citations
PageRank
William M. Campbell179970.38
Terry P. Gleason216412.31
Jiri Navratil331431.36
D. A. Reynolds47176641.65
Wade Shen5137774.03
Elliot Singer640836.01
Pedro A. Torres-Carrasquillo754239.26